diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml
index 9c2ff313..ed372f22 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.yml
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -44,7 +44,7 @@ body:
     id: commit
     attributes:
       label: Commit where the problem happens
-      description: Which commit are you running ? (copy the **Commit hash** shown in the cmd/terminal when you launch the UI)
+      description: Which commit are you running ? (Do not write *Latest version/repo/commit*, as this means nothing and will have changed by the time we read your issue. Rather, copy the **Commit hash** shown in the cmd/terminal when you launch the UI)
     validations:
       required: true
   - type: dropdown
diff --git a/README.md b/README.md
index 1a0e4f6a..55c050d5 100644
--- a/README.md
+++ b/README.md
@@ -72,7 +72,7 @@ Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-web
 - No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
 - DeepDanbooru integration, creates danbooru style tags for anime prompts (add --deepdanbooru to commandline args)
 - [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add --xformers to commandline args)
-- History tab: view, direct and delete images conveniently within the UI
+- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
 - Generate forever option
 - Training tab
      - hypernetworks and embeddings options
@@ -95,6 +95,16 @@ git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-grad
 After running this command, make sure that you have `aesthetic-gradients` dir in webui's `extensions` directory and restart
 the UI. The interface for Aesthetic Gradients should appear exactly the same as it was.
 
+## Where is History/Image browser?!?!
+Image browser is now an extension. You can install it using git:
+
+```commandline
+git clone https://github.com/yfszzx/stable-diffusion-webui-images-browser extensions/images-browser
+```
+
+After running this command, make sure that you have `images-browser` dir in webui's `extensions` directory and restart
+the UI. The interface for Image browser should appear exactly the same as it was.
+
 ## Installation and Running
 Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
 
diff --git a/javascript/hints.js b/javascript/hints.js
index a1fcc93b..6ddd6aec 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -62,8 +62,8 @@ titles = {
 
     "Interrogate": "Reconstruct prompt from existing image and put it into the prompt field.",
 
-    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
+    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
     "Max prompt words": "Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle",
 
     "Loopback": "Process an image, use it as an input, repeat.",
diff --git a/javascript/localization.js b/javascript/localization.js
index e6644635..f92d2d24 100644
--- a/javascript/localization.js
+++ b/javascript/localization.js
@@ -108,6 +108,9 @@ function processNode(node){
 
 function dumpTranslations(){
     dumped = {}
+    if (localization.rtl) {
+        dumped.rtl = true
+    }
 
     Object.keys(original_lines).forEach(function(text){
         if(dumped[text] !== undefined)  return
@@ -129,6 +132,24 @@ onUiUpdate(function(m){
 
 document.addEventListener("DOMContentLoaded", function() {
     processNode(gradioApp())
+
+    if (localization.rtl) {  // if the language is from right to left,
+        (new MutationObserver((mutations, observer) => { // wait for the style to load
+            mutations.forEach(mutation => {
+                mutation.addedNodes.forEach(node => {
+                    if (node.tagName === 'STYLE') {
+                        observer.disconnect();
+
+                        for (const x of node.sheet.rules) {  // find all rtl media rules
+                            if (Array.from(x.media || []).includes('rtl')) {
+                                x.media.appendMedium('all');  // enable them
+                            }
+                        }
+                    }
+                })
+            });
+        })).observe(gradioApp(), { childList: true });
+    }
 })
 
 function download_localization() {
diff --git a/localizations/ar_AR.json b/localizations/ar_AR.json
index 6d03e013..1195a8e9 100644
--- a/localizations/ar_AR.json
+++ b/localizations/ar_AR.json
@@ -1,691 +1,456 @@
-{   "⤡": "⤡",
-    "⊞": "⊞",
-    "×": "×",
-    "❮": "❮",
-    "❯": "❯",
-    "Loading...": "جار التحميل...",
-    "view": "معاينة",
-    "api": "api",
-    "•": "•",
-    "built with gradio": "مبني باستخدام Gradio",
-    "Stable Diffusion checkpoint": "نماذج الانتشار المستقر",
-    "txt2img": "نص لصورة",
-    "img2img": "صورة لصورة",
-    "Extras": "الإضافات",
-    "PNG Info": "معلومات PNG",
-    "Image Browser": "مستعرض الصور",
-    "Checkpoint Merger": "دمج النماذج",
-    "Train": "التدريب",
-    "Settings": "الإعدادات",
-    "Prompt": "الموجه",
-    "Negative prompt": "الموجه السلبي",
-    "Run": "تشغيل",
-    "Skip": "تخطي",
-    "Interrupt": "إيقاف",
-    "Generate": "إنشاء",
-    "Style 1": "نمط 1",
-    "Style 2": "نمط 2",
-    "Label": "الوسم",
-    "File": "ملف",
-    "Drop File Here": "اسحب الملف هنا",
-    "-": "-",
-    "or": "أو",
-    "Click to Upload": "انقر للتحميل",
-    "Image": "صورة",
-    "Check progress": "تحقق من التقدم",
-    "Check progress (first)": "تحقق من التقدم (الأول)",
-    "Sampling Steps": "خطوات أخذ العينة",
-    "Sampling method": "نظام أخذ العينات",
-    "Euler a": "Euler a",
-    "Euler": "Euler",
-    "LMS": "LMS",
-    "Heun": "Heun",
-    "DPM2": "DPM2",
-    "DPM2 a": "DPM2 a",
-    "DPM fast": "DPM fast",
-    "DPM adaptive": "DPM adaptive",
-    "LMS Karras": "LMS Karras",
-    "DPM2 Karras": "DPM2 Karras",
-    "DPM2 a Karras": "DPM2 a Karras",
-    "DDIM": "DDIM",
-    "PLMS": "PLMS",
-    "Width": "العرض",
-    "Height": "الارتفاع",
-    "Restore faces": "ترميم الوجوه",
-    "Tiling": "تبليط",
-    "Highres. fix": "إصلاح الصور عالية الدقة",
-    "Firstpass width": "عرض المرور الأول",
-    "Firstpass height": "ارتفاع المرور الأول",
-    "Denoising strength": "قوة تقليل الضوضاء",
-    "Batch count": "عدد الدُفعات",
-    "Batch size": "حجم الدفعة",
-    "CFG Scale": "مقياس التقارب من الموجه (CFG)",
-    "Seed": "البذرة",
-    "Extra": "إضافي",
-    "Variation seed": "تباين البذرة",
-    "Variation strength": "قوة التباين",
-    "Resize seed from width": "تغيير حجم البذرة من العرض",
-    "Resize seed from height": "تغيير حجم البذرة من الارتفاع",
-    "Script": "سكريبت",
-    "None": "لايوجد",
-    "Prompt matrix": "مصفوفة الموجهات",
-    "Prompts from file or textbox": "موجهات من ملف أو مربع النص",
-    "X/Y plot": "الرسم البياني X/Y",
-    "Put variable parts at start of prompt": "ضع الأجزاء المتغيرة في بداية الموجه",
-    "Show Textbox": "إظهار مربع النص",
-    "File with inputs": "ملف يحتوي المدخلات",
-    "Prompts": "الموجهات",
-    "X type": "نوع X",
-    "Nothing": "لا شئ",
-    "Var. seed": "تغير البذرة",
-    "Var. strength": "قوة التغيير",
-    "Steps": "الخطوات",
-    "Prompt S/R": "موجه S / R",
-    "Prompt order": "ترتيب الموجهات",
-    "Sampler": "نظام أخذ العينات",
-    "Checkpoint name": "اسم النموذج",
-    "Hypernetwork": "الشبكة الفائقة",
-    "Hypernet str.": "قوة الشبكة الفائقة",
-    "Sigma Churn": "دفع سيجما",
-    "Sigma min": "أصغر سيجما",
-    "Sigma max": "أكبر سيجما",
-    "Sigma noise": "ضجة سيجما",
-    "Eta": "الوقت المتوقع",
-    "Clip skip": "تخطي Clip",
-    "Denoising": "تقليل الضوضاء",
-    "X values": "قيم X",
-    "Y type": "نوع Y",
-    "Y values": "قيم Y",
-    "Draw legend": "ارسم مفتاح التوضيح",
-    "Include Separate Images": "قم بتضمين الصور منفصلة",
-    "Keep -1 for seeds": "احتفظ بـقيمة -1 للبذور",
-    "Drop Image Here": "إسقاط الصورة هنا",
-    "Save": "حفظ",
-    "Send to img2img": "أرسل إلى صورة لصورة",
-    "Send to inpaint": "أرسل إلى إعادة الرسم الجزئي",
-    "Send to extras": "أرسل إلى الإضافات",
-    "Make Zip when Save?": "إنشاء ملف مضغوط عند الحفظ؟",
-    "Textbox": "مربع النص",
-    "Interrogate\nCLIP": "استجواب\n CLIP",
-    "Inpaint": "إعادة الرسم الجزئي",
-    "Batch img2img": "دفعات صورة لصورة",
-    "Image for img2img": "صورة (صورة لصورة)",
-    "Image for inpainting with mask": "صورة (إعادة الرسم الجزئي)",
-    "Mask": "القناع",
-    "Mask blur": "ضبابية القناع",
-    "Mask mode": "أسلوب القناع",
-    "Draw mask": "رسم القناع",
-    "Upload mask": "تحميل القناع",
-    "Masking mode": "أسلوب التقنيع",
-    "Inpaint masked": "إعادة الرسم الجزئي (المنطقة المقنعة)",
-    "Inpaint not masked": "إعادة الرسم الجزئي (المنطقة الغير مقنعة)",
-    "Masked content": "المحتوى المقنع",
-    "fill": "الملأ",
-    "original": "الأصلي",
-    "latent noise": "الضوضاء الكامنة",
-    "latent nothing": "لا شيء كامن",
-    "Inpaint at full resolution": "إعادة الرسم الجزئي بدقة كاملة",
-    "Inpaint at full resolution padding, pixels": "إعادة الرسم الجزئي بدقة كاملة, الحشو, بيكسل",
-    "Process images in a directory on the same machine where the server is running.": "معالجة الصور في المجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
-    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "استخدم مجلد إخراج فارغ لحفظ الصور بشكل طبيعي بدلاً من الكتابة إلى مجلد المخرجات.",
-    "Input directory": "مجلد المدخلات",
-    "Output directory": "مجلد المخرجات",
-    "Resize mode": "وضعية تغيير الحجم",
-    "Just resize": "تغييير الحجم فقط",
-    "Crop and resize": "اقتصاص وتغيير الحجم",
-    "Resize and fill": "تغيير الحجم والتعبئة",
-    "Animator": "محرك الرسوم",
-    "Animator v2": "محرك الرسوم نسخة 2",
-    "Deforum v0.5-webui-beta": "ديفوروم 0.5",
-    "External Image Masking": "تقنيع الصور الخارجي",
-    "img2img alternative test": "صورة لصورة البديلة",
-    "Loopback": "الحلقة الراجعة",
-    "Outpainting mk2": "الرسم الخارجي نسخة 2",
-    "Poor man's outpainting": "الرسم الخارجي للفقراء",
-    "SD upscale": "ترقية الانتشار المستقر",
-    "txt2mask v0.1.1": "نص لقناع 0.1.1",
-    "[C] Video to video": "فيديو لفيديو",
-    "Videos": "فيديوهات",
-    "Render these video formats:": "رسم تنسيقات الفيديو:",
-    "GIF": "GIF",
-    "MP4": "MP4",
-    "WEBM": "WEBM",
-    "Animation Parameters": "متغيرات تحريك الرسوم",
-    "Total Animation Length (s)": "المدة الكلية للرسوم المتحركة",
-    "Framerate": "Framerate",
-    "Add_Noise": "Add_Noise",
-    "Noise Strength": "Noise Strength",
-    "Denoising_Decay": "Denoising_Decay",
-    "Denoising Decay Rate": "Denoising Decay Rate",
-    "Initial Parameters": "Initial Parameters",
-    "Denoising Strength (overrides img2img slider)": "Denoising Strength (overrides img2img slider)",
-    "Zoom Factor (scale/s)": "Zoom Factor (scale/s)",
-    "X Pixel Shift (pixels/s)": "X Pixel Shift (pixels/s)",
-    "Y Pixel Shift (pixels/s)": "Y Pixel Shift (pixels/s)",
-    "Prompt Template, applied to each keyframe below": "Prompt Template, applied to each keyframe below",
-    "Positive Prompts": "Positive Prompts",
-    "Negative Prompts": "Negative Prompts",
-    "Keyframe Format:": "Keyframe Format:",
-    "Time (s) | Desnoise | Zoom (/s) | X Shift (pix/s) | Y shift (pix/s) | Positive Prompts | Negative Prompts | Seed": "Time (s) | Desnoise | Zoom (/s) | X Shift (pix/s) | Y shift (pix/s) | Positive Prompts | Negative Prompts | Seed",
-    "Keyframes:": "Keyframes:",
-    "Rotation (deg/s)": "Rotation (deg/s)",
-    "Props": "Props",
-    "Folder:": "Folder:",
-    "Supported Keyframes:": "Supported Keyframes:",
-    "time_s | prompt | positive_prompts | negative_prompts": "time_s | prompt | positive_prompts | negative_prompts",
-    "time_s | transform | zoom | x_shift | y_shift | rotation": "time_s | transform | zoom | x_shift | y_shift | rotation",
-    "time_s | seed | new_seed_int": "time_s | seed | new_seed_int",
-    "time_s | denoise | denoise_value": "time_s | denoise | denoise_value",
-    "time_s | prop | prop_filename | x_pos | y_pos | scale | rotation": "time_s | prop | prop_filename | x_pos | y_pos | scale | rotation",
-    "time_s | set_text | textblock_name | text_prompt | x | y | fore_R | fore_G | fore_B | back_R | back_G | back_B | font_name | font_size": "time_s | set_text | textblock_name | text_prompt | x | y | fore_R | fore_G | fore_B | back_R | back_G | back_B | font_name | font_size",
-    "time_s | clear_text | textblock_name": "time_s | clear_text | textblock_name",
-    "time_s | prop | prop_name | prop_filename | x pos | y pos | scale | rotation": "time_s | prop | prop_name | prop_filename | x pos | y pos | scale | rotation",
-    "time_s | set_stamp | stamp_name | stamp_filename | x pos | y pos | scale | rotation": "time_s | set_stamp | stamp_name | stamp_filename | x pos | y pos | scale | rotation",
-    "time_s | clear_stamp | stamp_name": "time_s | clear_stamp | stamp_name",
-    "time_s | col_set": "time_s | col_set",
-    "time_s | col_clear": "time_s | col_clear",
-    "time_s | model | 2022-10-19T08-10-53_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-19T09-06-28_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-20T10-07-46_Zori_New_20_training_images_2020_max_training_steps_ZZ_W_token_woman_class_word, 2022-10-20T10-39-38_Zori_New_20_training_images_1010_max_training_steps_ZZ_W_token_woman_class_word, HD-16, L, L2_1, L2_2, LM, MT_V, Main+Trinart, Z1, Z2, model, modelZ, nai, robo-diffusion-v1, sd-v1-5-inpainting, trinart2_step115000, v1-5-pruned, v1-5-pruned-emaonly, wd-v1-2-full-ema, wd-v1-3-float16": "time_s | model | 2022-10-19T08-10-53_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-19T09-06-28_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-20T10-07-46_Zori_New_20_training_images_2020_max_training_steps_ZZ_W_token_woman_class_word, 2022-10-20T10-39-38_Zori_New_20_training_images_1010_max_training_steps_ZZ_W_token_woman_class_word, HD-16, L, L2_1, L2_2, LM, MT_V, Main+Trinart, Z1, Z2, model, modelZ, nai, robo-diffusion-v1, sd-v1-5-inpainting, trinart2_step115000, v1-5-pruned, v1-5-pruned-emaonly, wd-v1-2-full-ema, wd-v1-3-float16",
-    "Click here after the generation to show the video": "Click here after the generation to show the video",
-    "Made by deforum.github.io, port for AUTOMATIC1111's webui maintained by kabachuha": "Made by deforum.github.io, port for AUTOMATIC1111's webui maintained by kabachuha",
-    "Original Deforum Github repo  github.com/deforum/stable-diffusion": "Original Deforum Github repo  github.com/deforum/stable-diffusion",
-    "This fork for auto1111's webui github.com/deforum-art/deforum-for-automatic1111-webui": "This fork for auto1111's webui github.com/deforum-art/deforum-for-automatic1111-webui",
-    "Join the official Deforum Discord discord.gg/deforum to share your creations and suggestions": "Join the official Deforum Discord discord.gg/deforum to share your creations and suggestions",
-    "User guide for v0.5 docs.google.com/document/d/1pEobUknMFMkn8F5TMsv8qRzamXX_75BShMMXV8IFslI/edit": "User guide for v0.5 docs.google.com/document/d/1pEobUknMFMkn8F5TMsv8qRzamXX_75BShMMXV8IFslI/edit",
-    "Math keyframing explanation docs.google.com/document/d/1pfW1PwbDIuW0cv-dnuyYj1UzPqe23BlSLTJsqazffXM/edit?usp=sharing": "Math keyframing explanation docs.google.com/document/d/1pfW1PwbDIuW0cv-dnuyYj1UzPqe23BlSLTJsqazffXM/edit?usp=sharing",
-    "Keyframes": "Keyframes",
-    "Init": "Init",
-    "Video output": "Video output",
-    "Run settings": "Run settings",
-    "Import settings from file": "Import settings from file",
-    "Override settings": "Override settings",
-    "Custom settings file": "Custom settings file",
-    "Sampling settings": "Sampling settings",
-    "The following settings have already been set up in the webui": "The following settings have already been set up in the webui",
-    "Do you want to override them with the values above?": "Do you want to override them with the values above?",
-    "FIXME! Need to make deforum <-> webui samplers map. Before that, the sampler gets used from webui anyway. If your images are changing too adruptly, lower steps or increase strength schedule!": "FIXME! Need to make deforum <-> webui samplers map. Before that, the sampler gets used from webui anyway. If your images are changing too adruptly, lower steps or increase strength schedule!",
-    "override_these_with_webui": "override_these_with_webui",
-    "W, H, seed, sampler, steps, scale, ddim_eta, n_batch, make_grid, grid_rows": "W, H, seed, sampler, steps, scale, ddim_eta, n_batch, make_grid, grid_rows",
-    "W": "W",
-    "H": "H",
-    "seed": "seed",
-    "sampler": "sampler",
-    "klms": "klms",
-    "dpm2": "dpm2",
-    "dpm2_ancestral": "dpm2_ancestral",
-    "heun": "heun",
-    "euler": "euler",
-    "euler_ancestral": "euler_ancestral",
-    "plms": "plms",
-    "ddim": "ddim",
-    "steps": "steps",
-    "scale": "scale",
-    "ddim_eta": "ddim_eta",
-    "n_batch": "n_batch",
-    "make_grid": "make_grid",
-    "grid_rows": "grid_rows",
-    "save_settings": "save_settings",
-    "save_samples": "save_samples",
-    "display_samples": "display_samples",
-    "save_sample_per_step": "save_sample_per_step",
-    "show_sample_per_step": "show_sample_per_step",
-    "Batch settings": "Batch settings",
-    "batch_name": "batch_name",
-    "filename_format": "filename_format",
-    "seed_behavior": "seed_behavior",
-    "iter": "iter",
-    "fixed": "fixed",
-    "random": "random",
-    "schedule": "schedule",
-    "Animation settings": "Animation settings",
-    "animation_mode": "animation_mode",
-    "2D": "2D",
-    "3D": "3D",
-    "Video Input": "Video Input",
-    "max_frames": "max_frames",
-    "border": "border",
-    "replicate": "replicate",
-    "wrap": "wrap",
-    "Motion parameters:": "Motion parameters:",
-    "2D and 3D settings": "2D and 3D settings",
-    "angle": "angle",
-    "zoom": "zoom",
-    "translation_x": "translation_x",
-    "translation_y": "translation_y",
-    "3D settings": "3D settings",
-    "translation_z": "translation_z",
-    "rotation_3d_x": "rotation_3d_x",
-    "rotation_3d_y": "rotation_3d_y",
-    "rotation_3d_z": "rotation_3d_z",
-    "Prespective flip — Low VRAM pseudo-3D mode:": "Prespective flip — Low VRAM pseudo-3D mode:",
-    "flip_2d_perspective": "flip_2d_perspective",
-    "perspective_flip_theta": "perspective_flip_theta",
-    "perspective_flip_phi": "perspective_flip_phi",
-    "perspective_flip_gamma": "perspective_flip_gamma",
-    "perspective_flip_fv": "perspective_flip_fv",
-    "Generation settings:": "Generation settings:",
-    "noise_schedule": "noise_schedule",
-    "strength_schedule": "strength_schedule",
-    "contrast_schedule": "contrast_schedule",
-    "cfg_scale_schedule": "cfg_scale_schedule",
-    "To enable seed schedule select seed behavior — 'schedule'": "To enable seed schedule select seed behavior — 'schedule'",
-    "seed_schedule": "seed_schedule",
-    "Coherence:": "Coherence:",
-    "color_coherence": "color_coherence",
-    "Match Frame 0 HSV": "Match Frame 0 HSV",
-    "Match Frame 0 LAB": "Match Frame 0 LAB",
-    "Match Frame 0 RGB": "Match Frame 0 RGB",
-    "diffusion_cadence": "diffusion_cadence",
-    "3D Depth Warping:": "3D Depth Warping:",
-    "use_depth_warping": "use_depth_warping",
-    "midas_weight": "midas_weight",
-    "near_plane": "near_plane",
-    "far_plane": "far_plane",
-    "fov": "fov",
-    "padding_mode": "padding_mode",
-    "reflection": "reflection",
-    "zeros": "zeros",
-    "sampling_mode": "sampling_mode",
-    "bicubic": "bicubic",
-    "bilinear": "bilinear",
-    "nearest": "nearest",
-    "save_depth_maps": "save_depth_maps",
-    "`animation_mode: None` batches on list of *prompts*. (Batch mode disabled atm, only animation_prompts are working)": "`animation_mode: None` batches on list of *prompts*. (Batch mode disabled atm, only animation_prompts are working)",
-    "*Important change from vanilla Deforum!*": "*Important change from vanilla Deforum!*",
-    "This script uses the built-in webui weighting settings.": "This script uses the built-in webui weighting settings.",
-    "So if you want to use math functions as prompt weights,": "So if you want to use math functions as prompt weights,",
-    "keep the values above zero in both parts": "keep the values above zero in both parts",
-    "Negative prompt part can be specified with --neg": "Negative prompt part can be specified with --neg",
-    "batch_prompts (disabled atm)": "batch_prompts (disabled atm)",
-    "animation_prompts": "animation_prompts",
-    "Init settings": "Init settings",
-    "use_init": "use_init",
-    "from_img2img_instead_of_link": "from_img2img_instead_of_link",
-    "strength_0_no_init": "strength_0_no_init",
-    "strength": "strength",
-    "init_image": "init_image",
-    "use_mask": "use_mask",
-    "use_alpha_as_mask": "use_alpha_as_mask",
-    "invert_mask": "invert_mask",
-    "overlay_mask": "overlay_mask",
-    "mask_file": "mask_file",
-    "mask_brightness_adjust": "mask_brightness_adjust",
-    "mask_overlay_blur": "mask_overlay_blur",
-    "Video Input:": "Video Input:",
-    "video_init_path": "video_init_path",
-    "extract_nth_frame": "extract_nth_frame",
-    "overwrite_extracted_frames": "overwrite_extracted_frames",
-    "use_mask_video": "use_mask_video",
-    "video_mask_path": "video_mask_path",
-    "Interpolation (turned off atm)": "Interpolation (turned off atm)",
-    "interpolate_key_frames": "interpolate_key_frames",
-    "interpolate_x_frames": "interpolate_x_frames",
-    "Resume animation:": "Resume animation:",
-    "resume_from_timestring": "resume_from_timestring",
-    "resume_timestring": "resume_timestring",
-    "Video output settings": "Video output settings",
-    "skip_video_for_run_all": "skip_video_for_run_all",
-    "fps": "fps",
-    "output_format": "output_format",
-    "PIL gif": "PIL gif",
-    "FFMPEG mp4": "FFMPEG mp4",
-    "ffmpeg_location": "ffmpeg_location",
-    "add_soundtrack": "add_soundtrack",
-    "soundtrack_path": "soundtrack_path",
-    "use_manual_settings": "use_manual_settings",
-    "render_steps": "render_steps",
-    "max_video_frames": "max_video_frames",
-    "path_name_modifier": "path_name_modifier",
-    "x0_pred": "x0_pred",
-    "x": "x",
-    "image_path": "image_path",
-    "mp4_path": "mp4_path",
-    "Masking preview size": "Masking preview size",
-    "Draw new mask on every run": "Draw new mask on every run",
-    "Process non-contigious masks separately": "Process non-contigious masks separately",
-    "should be 2 or lower.": "should be 2 or lower.",
-    "Override `Sampling method` to Euler?(this method is built for it)": "Override `Sampling method` to Euler?(this method is built for it)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
-    "Original prompt": "Original prompt",
-    "Original negative prompt": "Original negative prompt",
-    "Override `Sampling Steps` to the same value as `Decode steps`?": "Override `Sampling Steps` to the same value as `Decode steps`?",
-    "Decode steps": "Decode steps",
-    "Override `Denoising strength` to 1?": "Override `Denoising strength` to 1?",
-    "Decode CFG scale": "Decode CFG scale",
-    "Randomness": "Randomness",
-    "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image",
-    "Loops": "Loops",
-    "Denoising strength change factor": "معامل قوة تقليل الضوضاء",
-    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "الإعدادات الموصى بها: خطوات أخذ العينات: 80-100 ، طريقة أخذ العينات: Euler a ، تقليل الضوضاء: 0.8",
-    "Pixels to expand": "عدد البكسل للتوسيع",
-    "Outpainting direction": "إتجاه الرسم الخارجي",
-    "left": "يسار",
-    "right": "يمين",
-    "up": "فوق",
-    "down": "تحت",
-    "Fall-off exponent (lower=higher detail)": "أس التناقص (الأدنى = تفاصيل أعلى)",
-    "Color variation": "اختلاف اللون",
-    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "سيقوم بترقية الصورة إلى ضعف الأبعاد ؛ استخدم شريط تمرير العرض والارتفاع لضبط حجم التبليط",
-    "Tile overlap": "تداخل التبليط",
-    "Upscaler": "المرقي",
-    "Lanczos": "Lanczos",
-    "LDSR": "LDSR",
-    "ESRGAN 4x": "ESRGAN 4x",
-    "R-ESRGAN General 4xV3": "R-ESRGAN General 4xV3",
-    "R-ESRGAN General WDN 4xV3": "R-ESRGAN General WDN 4xV3",
-    "R-ESRGAN AnimeVideo": "R-ESRGAN AnimeVideo",
-    "R-ESRGAN 4x+": "R-ESRGAN 4x+",
-    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
-    "R-ESRGAN 2x+": "R-ESRGAN 2x+",
-    "ScuNET GAN": "ScuNET GAN",
-    "ScuNET PSNR": "ScuNET PSNR",
-    "SwinIR_4x": "SwinIR_4x",
-    "Mask prompt": "Mask prompt",
-    "Negative mask prompt": "Negative mask prompt",
-    "Mask precision": "Mask precision",
-    "Mask padding": "Mask padding",
-    "Brush mask mode": "Brush mask mode",
-    "discard": "discard",
-    "add": "add",
-    "subtract": "subtract",
-    "Show mask in output?": "Show mask in output?",
-    "If you like my work, please consider showing your support on": "If you like my work, please consider showing your support on",
-    "Patreon": "Patreon",
-    "Input file path": "Input file path",
-    "CRF (quality, less is better, x264 param)": "CRF (quality, less is better, x264 param)",
-    "FPS": "FPS",
-    "Seed step size": "Seed step size",
-    "Seed max distance": "Seed max distance",
-    "Start time": "Start time",
-    "End time": "End time",
-    "End Prompt Blend Trigger Percent": "End Prompt Blend Trigger Percent",
-    "Prompt end": "Prompt end",
-    "Smooth video": "Smooth video",
-    "Seconds": "Seconds",
-    "Zoom": "Zoom",
-    "Zoom level": "Zoom level",
-    "Direction X": "Direction X",
-    "Direction Y": "Direction Y",
-    "Rotate": "Rotate",
-    "Degrees": "Degrees",
-    "Is the Image Tiled?": "Is the Image Tiled?",
-    "TranslateX": "TranslateX",
-    "Left": "Left",
-    "PercentX": "PercentX",
-    "TranslateY": "TranslateY",
-    "Up": "Up",
-    "PercentY": "PercentY",
-    "Show generated pictures in ui": "عرض الصور المنشئة في واجهة الاستخدام",
-    "Single Image": "صورة واحدة",
-    "Batch Process": "معالجة الدفعات",
-    "Batch from Directory": "دفعة من المجلد",
-    "Source": "مصدر",
-    "Show result images": "إظهار نتائج الصور ",
-    "Scale by": "رفع الحجم بمقدار",
-    "Scale to": "رفع الحجم إلى",
-    "Resize": "تغيير الحجم",
-    "Crop to fit": "اقتصاص للتوافق",
-    "Upscaler 2 visibility": "إظهار المرقي 2",
-    "GFPGAN visibility": "إظهار GFPGAN",
-    "CodeFormer visibility": "إظهار CodeFormer",
-    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "وزن CodeFormer (0 = أقصى تأثير ، 1 = تأثير أدنى)",
-    "Open output directory": "افتح مجلد المخرجات",
-    "Send to txt2img": "أرسل إلى كتابة لصورة",
-    "extras": "إضافات",
-    "favorites": "المفضلة",
-    "Load": "تحميل",
-    "Images directory": "مجلد الصور",
-    "Prev batch": "الدفعة السابقة",
-    "Next batch": "الدفعة التالية",
-    "First Page": "الصفحة الأولى",
-    "Prev Page": "الصفحة السابقة",
-    "Page Index": "فهرس الصفحات",
-    "Next Page": "الصفحة التالية",
-    "End Page": "صفحة النهاية",
-    "number of images to delete consecutively next": "عدد الصور المطلوب حذفها على التوالي بعد ذلك",
-    "Delete": "حذف",
-    "Generate Info": "معلومات الإنشاء",
-    "File Name": "اسم الملف",
-    "Collect": "جمع",
-    "Refresh page": "إعادة تحميل الصفحة",
-    "Date to": "التاريخ إلى",
-    "Number": "الرقم",
-    "set_index": "وضع الفهرس",
-    "Checkbox": "صندوق اختيار",
-    "A merger of the two checkpoints will be generated in your": "سيتم إنشاء نموذجمدمج من النموذجين في",
-    "checkpoint": "النموذج",
-    "directory.": "المجلد.",
-    "Primary model (A)": "النموذج الأساسي (أ)",
-    "Secondary model (B)": "النموذج الثانوي (ب)",
-    "Tertiary model (C)": "النموذج الثالث (ج)",
-    "Custom Name (Optional)": "اسم مخصص (اختياري)",
-    "Multiplier (M) - set to 0 to get model A": "المضاعف (M) - اضبط على 0 للحصول على النموذج أ",
-    "Interpolation Method": "طريقة الاستنباط",
-    "Weighted sum": "المجموع الموزون",
-    "Add difference": "أضافة الاختلاف",
-    "Save as float16": "حفظ  float16",
-    "See": "شاهد",
-    "wiki": "ويكي",
-    "for detailed explanation.": "للحصول على شرح مفصل.",
-    "Create embedding": "إنشاء التضمين",
-    "Create hypernetwork": "إنشاء شبكة فائقة",
-    "Preprocess images": "تجهيز الصور",
-    "Name": "الاسم",
-    "Initialization text": "نص التهيئة",
-    "Number of vectors per token": "عدد المتجهات لكل رمز",
-    "Overwrite Old Embedding": "الكتابة فوق التضمين القديم",
-    "Modules": "الوحدات",
-    "Enter hypernetwork layer structure": "أدخل بنية طبقة الشبكة الفائقة",
-    "Select activation function of hypernetwork": "حدد وظيفة تنشيط الشبكة الفائقة",
-    "linear": "خطي (Linear)",
-    "relu": "الوحدة الخطية المعدلة (Relu)",
-    "leakyrelu": "الوحدة الخطية المعدلة المسربة (Leakyrelu)",
-    "elu": "الوحدة الأسية الخطية (Elu)",
-    "swish": "Swish",
-    "Add layer normalization": "أضف طبقة التسوية",
-    "Use dropout": "استخدم الهبوط",
-    "Overwrite Old Hypernetwork": "الكتابة فوق الشبكة الفائقة القديمة",
-    "Source directory": "مجلد المصدر",
-    "Destination directory": "مجلد النتائج",
-    "Existing Caption txt Action": "الإجراء النصي للتعليق المتوفر",
-    "ignore": "تجاهل",
-    "copy": "نسخ",
-    "prepend": "أضف قبل",
-    "append": "ألحق",
-    "Create flipped copies": "قم بإنشاء نسخ مقلوبة",
-    "Split oversized images": "تقسيم الصور كبيرة الحجم",
-    "Use BLIP for caption": "استخدم BLIP للتعليق",
-    "Use deepbooru for caption": "استخدم deepbooru للتعليق",
-    "Split image threshold": "حد تقسيم الصورة",
-    "Split image overlap ratio": "نسبة تداخل الصورة المنقسمة",
-    "Preprocess": "تجهيز الصور",
-    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "تدريب التضمين أو الشبكة الفائقة ؛ يجب تحديد مجلد بمجموعة من الصور بنسبة أبعاد 1: 1",
-    "[wiki]": "[ويكي]",
-    "Embedding": "التضمين",
-    "Embedding Learning rate": "معدل تعلم التضمين",
-    "Hypernetwork Learning rate": "معدل تعلم الشبكة الفائقة",
-    "Dataset directory": "مجلد مجموعة البيانات",
-    "Log directory": "مجلد السجل",
-    "Prompt template file": "ملف قالب الموجهات",
-    "Max steps": "الخطوات القصوى",
-    "Save an image to log directory every N steps, 0 to disable": "حفظ صورة في مجلد السجل  كل N خطوات ، 0 للتعطيل",
-    "Save a copy of embedding to log directory every N steps, 0 to disable": "حفظ نسخة من التضمين في مجلد السجل كل N خطوات ، 0 للتعطيل",
-    "Save images with embedding in PNG chunks": "حفظ التضمين مع الصور في أجزاء PNG",
-    "Read parameters (prompt, etc...) from txt2img tab when making previews": "قراءة المتغيرات (الموجه ، إلخ ...) من علامة تبويب نص لصورة عند إجراء المعاينات",
-    "Train Hypernetwork": "تدريب الشبكة الفائقة",
-    "Train Embedding": "تدريب التضمين",
-    "Apply settings": "تطبيق الإعدادات",
-    "Saving images/grids": "حفظ الصور / الإطار الشبكي",
-    "Always save all generated images": "احفظ دائمًا جميع الصور التي تم إنشائها",
-    "File format for images": "تنسيق ملفات الصور",
-    "Images filename pattern": "نمط اسم ملفات الصور",
-    "Always save all generated image grids": "احفظ دائمًا جميع الإطارات الشبكية للصور التي تم إنشاؤها",
-    "File format for grids": "تنسيق ملفات الإطارات الشبكية",
-    "Add extended info (seed, prompt) to filename when saving grid": "أضف معلومات إضافية (البذرة ، الموجه) إلى اسم الملف عند حفظ الإطار الشبكي",
-    "Do not save grids consisting of one picture": "لا تحفظ الإطارات الشبكية التي تتكون من صورة واحدة",
-    "Prevent empty spots in grid (when set to autodetect)": "منع المناطق الفارغة في الإطار الشبكي (عند الضبط على الاكتشاف التلقائي)",
-    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "عدد صفوف الإطار الشبكي استخدم -1 للاكتشاف التلقائي و 0 ليكون نفس حجم الدُفعة",
-    "Save text information about generation parameters as chunks to png files": "احفظ معلومات نصية حول متغيرات الإنشاء كمقاطع في ملفات png",
-    "Create a text file next to every image with generation parameters.": "قم بإنشاء ملف نصي بجوار كل صورة باستخدام متغيرات الإنشاء.",
-    "Save a copy of image before doing face restoration.": "احفظ نسخة من الصورة قبل القيام بترميم الوجوه.",
-    "Quality for saved jpeg images": "جودة الصور المحفوظة بتنسيق jpeg",
-    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "إذا كانت صورة PNG أكبر من 4 ميجابايت أو كان أي بُعد أكبر من 4000 ، قم بتقليل حجم الصورة وحفظها بتنسيق JPG",
-    "Use original name for output filename during batch process in extras tab": "استخدم الاسم الأصلي لاسم ملف الإخراج أثناء عملية الدُفعات في علامة تبويب الإضافات",
-    "When using 'Save' button, only save a single selected image": "عند استخدام زر 'حفظ' ، احفظ فقط صورة واحدة محددة",
-    "Do not add watermark to images": "لا تقم بإضافة العلامة المائية للصور",
-    "Paths for saving": "مسارات الحفظ",
-    "Output directory for images; if empty, defaults to three directories below": "مجلد المخرجات للصور ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدات الثلاثة أدناه",
-    "Output directory for txt2img images": "مجلد المخرجات لصور نص لصورة",
-    "Output directory for img2img images": "مجلد المخرجات لصور صورة لصورة",
-    "Output directory for images from extras tab": "مجلد المخرجات لصور علامة تبويب الإضافات",
-    "Output directory for grids; if empty, defaults to two directories below": "مجلد المخرجات للإطارات الشبكية ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدين أدناه",
-    "Output directory for txt2img grids": "مجلد المخرجات للإطارات الشبكية نص لصورة",
-    "Output directory for img2img grids": "مجلد المخرجات للإطارات الشبكية صورة لصورة",
-    "Directory for saving images using the Save button": "مجلد لحفظ الصور باستخدام زر حفظ",
-    "Saving to a directory": "يتم الحفظ إلى المجلد..",
-    "Save images to a subdirectory": "حفظ الصور في مجلد فرعي",
-    "Save grids to a subdirectory": "حفظ الإطارات الشبكية في مجلد فرعي",
-    "When using 'Save' button, save images to a subdirectory": "عند استخدام زر 'حفظ' ، احفظ الصور في مجلد فرعي",
-    "Directory name pattern": "نمط اسم المجلد",
-    "Max prompt words for [prompt_words] pattern": "أقصى عدد لكلمات التوجيه لنمط [كلمات_التوجيه]",
-    "Upscaling": "الارتقاء",
-    "Tile size for ESRGAN upscalers. 0 = no tiling.": "حجم التبليط لترقيات ESRGAN, القيمة 0= لا يوجد تبليط.",
-    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "تداخل المربعات ، بالبكسل لمرقي ESRGAN. القيم المنخفضة = تداخل مرئي.",
-    "Tile size for all SwinIR.": "حجم التليط لجميع عمليات SwinIR.",
-    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "تداخل المربعات بالبكسل لـ SwinIR. القيم المنخفضة = تداخل مرئي.",
-    "LDSR processing steps. Lower = faster": "خطوات معالجة LDSR. أقل = أسرع",
-    "Upscaler for img2img": "المرقي لصورة لصورة",
-    "Upscale latent space image when doing hires. fix": "ترقية صورة الفضاء الكامن عند التعيينات. تصليح",
-    "Face restoration": "ترميم الوجوه",
-    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "متغيرات وزن CodeFormer ؛ 0 = أقصى تأثير ؛ 1 = الحد الأدنى من التأثير",
-    "Move face restoration model from VRAM into RAM after processing": "انقل نموذج استعادة الوجوه من VRAM إلى RAM بعد المعالجة",
-    "System": "نظام",
-    "VRAM usage polls per second during generation. Set to 0 to disable.": "استطلاعات استخدام VRAM في الثانية أثناء الإنشاء. اضبط على 0 للتعطيل.",
-    "Always print all generation info to standard output": "قم دائمًا بطباعة جميع معلومات الإنشاء إلى المخرج القياسي",
-    "Add a second progress bar to the console that shows progress for an entire job.": "أضف شريط تقدم آخر إلى وحدة التحكم يُظهر التدقم الكلي للمهمة.",
-    "Training": "التدريب",
-    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "تفريغ VAE و CLIP من VRAM عند التدريب",
-    "Filename word regex": "اسم ملف كلمات regex",
-    "Filename join string": "سلسلة أحرف دمج أسماء الملفات",
-    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "عدد التكرارات لصورة إدخال واحدة لكل حقبة ؛ تستخدم فقط لعرض رقم الحقبة",
-    "Save an csv containing the loss to log directory every N steps, 0 to disable": "حفظ ملف csv يحتوي على الخسارة إلى مجلد السجل كل N خطوات ، 0 للتعطيل",
-    "Stable Diffusion": "انتشار مستقر",
-    "Checkpoints to cache in RAM": "التخزين المؤقت للنماذج في RAM",
-    "Hypernetwork strength": "قوة الشبكة الفائقة",
-    "Apply color correction to img2img results to match original colors.": "قم بتطبيق تصحيح الألوان على نتائج صورة لصورة لمطابقة الألوان الأصلية.",
-    "Save a copy of image before applying color correction to img2img results": "احفظ نسخة من الصورة قبل تطبيق تصحيح الألوان على نتائج  صورة لصورة",
-    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "باستخدام صورة لصورة ، قم بالضبط بعدد الخطوات التي يحددها شريط التمرير (عادةً ما سيكون أقل مع تقليل التشويش).",
-    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "تمكين تكميم عينات K للحصول على نتائج أوضح وأنظف. هذا قد يغير البذرة المستخدمة. يتطلب إعادة التشغيل للتطبيق.",
-    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "التأكيد: استخدم (النص) لجعل النموذج يولي مزيدًا من الاهتمام للنص و استخدم [النص] لجعل النموذج يولي اهتمامًا أقل  للنص",
-    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "استخدم طريقة التأكيد القديمة. يمكن أن يكون مفيدًا لإعادة إنتاج البذور القديمة.",
-    "Make K-diffusion samplers produce same images in a batch as when making a single image": "اجعل انظمة أخذ عينات الانتشار K تنتج نفس الصور في الدفعات كما هو الحال عند إنشاء صورة واحدة",
-    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "زيادة التناسق عن طريق المساحة المتروكة من الفاصلة الأخيرة ضمن عدد n من الرموز المميزة عند استخدام أكثر من 75 رمزًا مميزًا",
-    "Filter NSFW content": "تصفية المحتوى الإباحي",
-    "Stop At last layers of CLIP model": "توقف عند آخر طبقات نموذج CLIP",
-    "Interrogate Options": "خيارات الاستجواب",
-    "Interrogate: keep models in VRAM": "الاستجواب: احتفظ بالنماذج في VRAM",
-    "Interrogate: use artists from artists.csv": "الاستجواب: استخدم  قائمة الفنانين من ملف artists.csv",
-    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "الاستجواب: قم بتضمين رتب علامات النموذج في النتائج (ليس له تأثير على الاستجواب المستند إلى التعليقات).",
-    "Interrogate: num_beams for BLIP": "الاستجواب: عدد الحزم لـ BLIP",
-    "Interrogate: minimum description length (excluding artists, etc..)": "الاستجواب: الحد الأدنى لطول الوصف (باستثناء الفنانين ،إلخ..)",
-    "Interrogate: maximum description length": "الاستجواب: الحد الأقصى لطول الوصف",
-    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: أقصى عدد من الأسطر في الملف النصي (0 = بلا حدود)",
-    "Interrogate: deepbooru score threshold": "الاستجواب: عتبة درجات deepbooru",
-    "Interrogate: deepbooru sort alphabetically": "الاستجواب: الترتيب الأبجدي لـ deepbooru",
-    "use spaces for tags in deepbooru": "استخدام مسافات للعلامات في deepbooru",
-    "User interface": "واجهة المستخدم",
-    "Show progressbar": "إظهار شريط التقدم",
-    "Show image creation progress every N sampling steps. Set 0 to disable.": "إظهار تقدم إنشاء الصورة لكل N خطوة من خطوات أخذ العينات. قم بتعيين 0 للتعطيل.",
-    "Show previews of all images generated in a batch as a grid": "إظهار معاينة لجميع الصور التي يتم إنشائها في الدفعة كإطار شبكي",
-    "Show grid in results for web": "إظهار الإطار الشبكي في نتائج الويب",
-    "Do not show any images in results for web": "لا تظهر أي صور في نتائج الويب",
-    "Add model hash to generation information": "أضف معلومات الهاش للنموذج إلى معلومات الإنشاء",
-    "Add model name to generation information": "أضف اسم النموذج إلى معلومات الإنشاء",
-    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "عند قراءة متغيرات الإنشاء من النص إلى واجهة المستخدم (من معلومات PNG أو النص الملصق) ، لا تقم بتغيير النموذج",
-    "Font for image grids that have text": "الخط المستخدم للإطارات الشبكية للصور التي تحتوي على نص",
-    "Enable full page image viewer": "تفعيل عارض الصور ذو الصفحة الكاملة",
-    "Show images zoomed in by default in full page image viewer": "إظهار الصور التي تم تكبيرها بشكل افتراضي في عارض الصور ذو الصفحة الكاملة",
-    "Show generation progress in window title.": "إظهار تقدم الإنشاء في عنوان الشاشة.",
-    "Quicksettings list": "قائمة الإعدادات السريعة",
-    "Localization (requires restart)": "الترجمة (يتطلب إعادة التشغيل)",
-    "ar_AR": "العربية",
-    "ja_JP": "اليابانية",
-    "ru_RU": "الروسية",
-    "Sampler parameters": "متغيرات أنظمة اخذ العينات",
-    "Hide samplers in user interface (requires restart)": "إخفاء أنظمة أخذ العينات في واجهة المستخدم (يتطلب إعادة التشغيل)",
-    "eta (noise multiplier) for DDIM": "الوقت المتبقي (مضاعف الضوضاء) لـ DDIM",
-    "eta (noise multiplier) for ancestral samplers": "الوقت المتبقي (مضاعف الضوضاء) لأنظمة أخذ العينات التي تعتمد على الأجداد",
-    "img2img DDIM discretize": "تفصل DDIM لصورة لصورة",
-    "uniform": "التوحيد",
-    "quad": "رباعية",
-    "sigma churn": "دفع سيجما",
-    "sigma tmin": "سيجما tmin",
-    "sigma noise": "ضجيج سيجما",
-    "Eta noise seed delta": "الوقت المتوقع لديلتا بذرة الضجيج ",
-    "Images Browser": "مستعرض الصور",
-    "Preload images at startup": "تحميل الصور مسبقًا عند بدء التشغيل",
-    "Number of pictures displayed on each page": "عدد الصور المعروضة في كل صفحة",
-    "Minimum number of pages per load": "الحد الأدنى لعدد الصفحات لكل تحميل",
-    "Number of grids in each row": "عدد الإطارات الشبكية لكل صف",
-    "Request browser notifications": "طلب إشعارات المتصفح",
-    "Download localization template": "تنزيل نموذج الترجمة",
-    "Reload custom script bodies (No ui updates, No restart)": "إعادة تحميل السكريبتات المخصصة (لا توجد تحديثات لواجهة المستخدم ، لا إعادة تشغيل)",
-    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعادة تشغيل  Gradio و تحديث مكونات واجهة الاستخدام (السكريبتات و ui.py و js و css فقط)",
-    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
-    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه السلبي (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
-    "Add a random artist to the prompt.": "أضف فنانًا عشوائيًا إلى الموجه.",
-    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "قراءة متغيرات الإنشاء من الموجه أو الإنشاء الأخير إذا كان الموجه فارغا في واجهة المستخدم.",
-    "Save style": "حفظ النمط",
-    "Apply selected styles to current prompt": "تطبيق الأنماط المحددة للموجه الحالي",
-    "Stop processing current image and continue processing.": "توقف عن معالجة الصورة الحالية واستمر في المعالجة.",
-    "Stop processing images and return any results accumulated so far.": "توقف عن معالجة الصور وقم بإرجاع أي نتائج متراكمة حتى الآن.",
-    "Style to apply; styles have components for both positive and negative prompts and apply to both": "النمط المطلوب تطبيقه ؛ الأنماط لها مكونات لكل من الموجهات الإيجابية والسلبية وتنطبق على كليهما",
-    "Do not do anything special": "لا تفعل أي شيء خاص",
-    "Which algorithm to use to produce the image": "الخوارزمية التي يجب استخدامها لإنتاج الصورة",
-    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - مبدع جدًا ، يمكن لكل منها الحصول على صورة مختلفة تمامًا اعتمادًا على عدد الخطوات ، تعيين الخطوات على أعلى من 30-40 لا يعطي نتيجة مفيدة",
-    "Denoising Diffusion Implicit Models - best at inpainting": "نماذج تقليل التشويش الضمني  - أفضل اسخدام في الرسم الجزئي",
-    "Produce an image that can be tiled.": "أنتج صورة يمكن تبليطها.",
-    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "استخدم عملية من خطوتين لإنشاء صورة جزئيًا بدقة أقل ثم ترقيتها و تحسين تفاصيلها دون تغيير التكوين",
-    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "يحدد مدى ضآلة احترام الخوارزمية لمحتوى الصورة. عند 0 ، لن يتغير شيء ، وعند 1 ستحصل على صورة لا صلة لها بالصورة الأصلية. مع وجود قيم أقل من 1.0 ، المعالجة ستأخذ خطوات أقل مما يحدده شريط تمرير خطوات المعالجة.",
-    "How many batches of images to create": "كم عدد دفعات الصور التي يتم إنشائها",
-    "How many image to create in a single batch": "كم صورة يتم إنشائها دفعة واحدة",
-    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "مقياس التوجيه الحر للمصنف - إلى أي مدى يجب أن تتوافق الصورة مع الموجه - القيم المنخفضة تنتج نتائج أكثر إبداعًا",
-    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "القيمة التي تحدد ناتج منشئ الأرقام العشوائية - إذا قمت بإنشاء صورة بنفس المتغيرات و بذرة الصورة ، فستحصل على نفس النتيجة",
-    "Set seed to -1, which will cause a new random number to be used every time": "عيّن البذرة إلى -1 ، مما سيؤدي إلى استخدام رقم عشوائي جديد في كل مرة",
-    "Reuse seed from last generation, mostly useful if it was randomed": "إعادة استخدام البذرة من الإنشاء الأخير ، وتكون مفيدة في الغالب إذا كانت عشوائية",
-    "Seed of a different picture to be mixed into the generation.": "استخدام بذرة من صورة مختلفة ليتم مزجها في الإنشاء.",
-    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "ما مدى قوة التباين عند الإنشاء. 0 ، لن يكون هناك أي تأثير. 1 ، ستحصل على الصورة الكاملة ببذور التباين (باستثناء أنظمة عينات الأسلاف ، حيث ستحصل على شيء ما فقط).",
-    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "قم بمحاولة لإنتاج صورة مشابهة لما تم إنتاجه بنفس البذرة بناءا على دقة محددة",
-    "Separate values for X axis using commas.": "افصل بين قيم المحور X باستخدام الفواصل.",
-    "Separate values for Y axis using commas.": "افصل بين قيم المحور Y باستخدام الفواصل.",
-    "Write image to a directory (default - log/images) and generation parameters into csv file.": "اكتب الصورة إلى مجلد (الافتراضي -  log/images) وتوليد المتغيرات في ملف csv.",
-    "Open images output directory": "افتح مجلد مخرجات الصور",
-    "How much to blur the mask before processing, in pixels.": "كم يتم تضبيب القناع قبل المعالجة ، بالبكسل.",
-    "What to put inside the masked area before processing it with Stable Diffusion.": "ما يجب وضعه داخل المنطقة المقنعة قبل معالجتها باستخدام الانتشار المستقر.",
-    "fill it with colors of the image": "املأها بألوان الصورة",
-    "keep whatever was there originally": "احتفظ بكل ما كان هناك في الأصل",
-    "fill it with latent space noise": "املأه بضوضاء الفضاء الكامنة",
-    "fill it with latent space zeroes": "املأه بأصفار الفضاء الكامنة",
-    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "قم بترقية المنطقة المقنعة إلى الدقة المستهدفة و الرسم الجزئي ثم تقليص الحجم  واللصق في الصورة الأصلية",
-    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "تغيير حجم الصورة إلى الدقة المستهدفة. ما لم يتطابق الطول والعرض ، ستحصل على نسبة عرض إلى ارتفاع غير صحيحة.",
-    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "قم بتغيير حجم الصورة بحيث يتم ملء الدقة المستهدفة بالكامل بالصورة. يتم قطع المناطق التي تبرز.",
-    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "قم بتغيير حجم الصورة بحيث تكون الصورة بأكملها داخل الدقة المستهدفة. املأ المساحة الفارغة بألوان الصورة.",
-    "How many times to repeat processing an image and using it as input for the next iteration": "كم مرة يتم تكرار معالجة صورة واستخدامها  كمدخل للتكرار التالي",
-    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "في وضع حلقة الاسترجاع ، يتم ضرب قوة تقليل الضوضاء بهذه القيمة في كل حلقة. يعني <1 تقليل التنوع بحيث يتقارب التسلسل الخاص بك على صورة ثابتة. > 1 يعني زيادة التنوع بحيث يصبح تسلسلك أكثر وأكثر فوضوية.",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "الترقية باستخدام الانتشار المستقر ، كم يجب أن يكون مقدار التداخل بالبكسل بين المربعات. تتداخل المربعات بحيث لا يكون هناك خط واضح للعيان عند دمجها مرة أخرى في صورة واحدة.",
-    "A directory on the same machine where the server is running.": "مجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
-    "Leave blank to save images to the default path.": "اتركه فارغًا لحفظ الصور في المسار الافتراضي.",
-    "Input images directory": "مجلد الصور المدخلة",
-    "Result = A * (1 - M) + B * M": "النتيجة = A * (1 - M) + B * M",
-    "Result = A + (B - C) * M": "النتيجة = A + (B - C) * M",
-    "1st and last digit must be 1. ex:'1, 2, 1'": "يجب أن يكون الرقم الأول والأخير 1. على سبيل المثال: '1 ، 2 ، 1'",
-    "Path to directory with input images": "المسار إلى مجلد الصور المدخلة",
-    "Path to directory where to write outputs": "المسار إلى مجلد كتابة النتائج",
-    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتعريف كيفية اختيار أسماء الملفات للصور: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
-    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "إذا تم تمكين هذا الخيار ، فلن تتم إضافة العلامة المائية إلى الصور التي تم إنشاؤها. تحذير: إذا لم تقم بإضافة علامة مائية ، فقد تكون تتصرف بطريقة غير أخلاقية.",
-    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتحديد كيفية اختيار المجادت الفرعية للصور و الإطارات الشبكية : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
-    "Restore low quality faces using GFPGAN neural network": "ترميم الوجوه منخفضة الجودة باستخدام الشبكة العصبية GFPGAN ",
-    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "سيتم استخدام هذا التعبير العادي لاستخراج الكلمات من اسم الملف ، وسيتم ضمها باستخدام الخيار أدناه في نص التسمية المستخدم للتدريب. اتركه فارغًا للاحتفاظ بنص اسم الملف كما هو.",
-    "This string will be used to join split words into a single line if the option above is enabled.": "سيتم استخدام هذا النص لضم الكلمات المقسمة إلى سطر واحد إذا تم تمكين الخيار أعلاه.",
-    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "قائمة أسماء الإعدادات ، مفصولة بفواصل ، للإعدادات التي يجب أن تنتقل إلى شريط الوصول السريع في الأعلى ، بدلاً من علامة تبويب الإعداد المعتادة. انظر modules / shared.py للتعرف على أسماء الإعدادات. يتطلب إعادة التشغيل للتطبيق.",
-    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "إذا كانت هذه القيم غير صفرية ، فستتم إضافتها إلى البذرة واستخدامها لتهيئة فوضى الضوضاء عند استخدام أنظمة أخذ العينات باستخدام الوقت المتبقي. يمكنك استخدام ذلك لإنتاج المزيد من التنوعات في الصور ، أو يمكنك استخدامه لمطابقة صور البرامج الأخرى إذا كنت تعرف ما تفعله."
+{
+  "rtl": true,
+  "⤡": "⤡",
+  "⊞": "⊞",
+  "×": "×",
+  "❮": "❮",
+  "❯": "❯",
+  "Loading...": "جار التحميل...",
+  "view": "معاينة",
+  "api": "api",
+  "•": "•",
+  "built with gradio": "مبني باستخدام Gradio",
+  "Stable Diffusion checkpoint": "نماذج الانتشار المستقر",
+  "txt2img": "نص لصورة",
+  "img2img": "صورة لصورة",
+  "Extras": "الإضافات",
+  "PNG Info": "معلومات PNG",
+  "Checkpoint Merger": "دمج النماذج",
+  "Train": "التدريب",
+  "Create aesthetic embedding": "Create aesthetic embedding",
+  "Image Browser": "مستعرض الصور",
+  "Settings": "الإعدادات",
+  "Prompt": "الموجه",
+  "Negative prompt": "الموجه السلبي",
+  "Run": "تشغيل",
+  "Skip": "تخطي",
+  "Interrupt": "إيقاف",
+  "Generate": "إنشاء",
+  "Style 1": "نمط 1",
+  "Style 2": "نمط 2",
+  "Label": "الوسم",
+  "File": "ملف",
+  "Drop File Here": "اسحب الملف هنا",
+  "-": "-",
+  "or": "أو",
+  "Click to Upload": "انقر للتحميل",
+  "Image": "صورة",
+  "Check progress": "تحقق من التقدم",
+  "Check progress (first)": "تحقق من التقدم (الأول)",
+  "Sampling Steps": "خطوات أخذ العينة",
+  "Sampling method": "نظام أخذ العينات",
+  "Euler a": "Euler a",
+  "Euler": "Euler",
+  "LMS": "LMS",
+  "Heun": "Heun",
+  "DPM2": "DPM2",
+  "DPM2 a": "DPM2 a",
+  "DPM fast": "DPM fast",
+  "DPM adaptive": "DPM adaptive",
+  "LMS Karras": "LMS Karras",
+  "DPM2 Karras": "DPM2 Karras",
+  "DPM2 a Karras": "DPM2 a Karras",
+  "DDIM": "DDIM",
+  "PLMS": "PLMS",
+  "Width": "العرض",
+  "Height": "الارتفاع",
+  "Restore faces": "ترميم الوجوه",
+  "Tiling": "تبليط",
+  "Highres. fix": "إصلاح الصور عالية الدقة",
+  "Firstpass width": "عرض المرور الأول",
+  "Firstpass height": "ارتفاع المرور الأول",
+  "Denoising strength": "قوة تقليل الضوضاء",
+  "Batch count": "عدد الدُفعات",
+  "Batch size": "حجم الدفعة",
+  "CFG Scale": "مقياس التقارب من الموجه (CFG)",
+  "Seed": "البذرة",
+  "Extra": "إضافي",
+  "Variation seed": "تباين البذرة",
+  "Variation strength": "قوة التباين",
+  "Resize seed from width": "تغيير حجم البذرة من العرض",
+  "Resize seed from height": "تغيير حجم البذرة من الارتفاع",
+  "Open for Clip Aesthetic!": "Open for Clip Aesthetic!",
+  "▼": "▼",
+  "Aesthetic weight": "Aesthetic weight",
+  "Aesthetic steps": "Aesthetic steps",
+  "Aesthetic learning rate": "Aesthetic learning rate",
+  "Slerp interpolation": "Slerp interpolation",
+  "Aesthetic imgs embedding": "Aesthetic imgs embedding",
+  "None": "لايوجد",
+  "Aesthetic text for imgs": "Aesthetic text for imgs",
+  "Slerp angle": "Slerp angle",
+  "Is negative text": "Is negative text",
+  "Script": "سكريبت",
+  "Prompt matrix": "مصفوفة الموجهات",
+  "Prompts from file or textbox": "موجهات من ملف أو مربع النص",
+  "X/Y plot": "الرسم البياني X/Y",
+  "Put variable parts at start of prompt": "ضع الأجزاء المتغيرة في بداية الموجه",
+  "Show Textbox": "إظهار مربع النص",
+  "File with inputs": "ملف يحتوي المدخلات",
+  "Prompts": "الموجهات",
+  "X type": "نوع X",
+  "Nothing": "لا شئ",
+  "Var. seed": "تغير البذرة",
+  "Var. strength": "قوة التغيير",
+  "Steps": "الخطوات",
+  "Prompt S/R": "موجه S / R",
+  "Prompt order": "ترتيب الموجهات",
+  "Sampler": "نظام أخذ العينات",
+  "Checkpoint name": "اسم النموذج",
+  "Hypernetwork": "الشبكة الفائقة",
+  "Hypernet str.": "قوة الشبكة الفائقة",
+  "Sigma Churn": "دفع سيجما",
+  "Sigma min": "أصغر سيجما",
+  "Sigma max": "أكبر سيجما",
+  "Sigma noise": "ضجة سيجما",
+  "Eta": "الوقت المتوقع",
+  "Clip skip": "تخطي Clip",
+  "Denoising": "تقليل الضوضاء",
+  "X values": "قيم X",
+  "Y type": "نوع Y",
+  "Y values": "قيم Y",
+  "Draw legend": "ارسم مفتاح التوضيح",
+  "Include Separate Images": "قم بتضمين الصور منفصلة",
+  "Keep -1 for seeds": "احتفظ بـقيمة -1 للبذور",
+  "Drop Image Here": "إسقاط الصورة هنا",
+  "Save": "حفظ",
+  "Send to img2img": "أرسل إلى صورة لصورة",
+  "Send to inpaint": "أرسل إلى إعادة الرسم الجزئي",
+  "Send to extras": "أرسل إلى الإضافات",
+  "Make Zip when Save?": "إنشاء ملف مضغوط عند الحفظ؟",
+  "Textbox": "مربع النص",
+  "Interrogate\nCLIP": "استجواب\n CLIP",
+  "Inpaint": "إعادة الرسم الجزئي",
+  "Batch img2img": "دفعات صورة لصورة",
+  "Image for img2img": "صورة (صورة لصورة)",
+  "Image for inpainting with mask": "صورة (إعادة الرسم الجزئي)",
+  "Mask": "القناع",
+  "Mask blur": "ضبابية القناع",
+  "Mask mode": "أسلوب القناع",
+  "Draw mask": "رسم القناع",
+  "Upload mask": "تحميل القناع",
+  "Masking mode": "أسلوب التقنيع",
+  "Inpaint masked": "إعادة الرسم الجزئي (المنطقة المقنعة)",
+  "Inpaint not masked": "إعادة الرسم الجزئي (المنطقة الغير مقنعة)",
+  "Masked content": "المحتوى المقنع",
+  "fill": "الملأ",
+  "original": "الأصلي",
+  "latent noise": "الضوضاء الكامنة",
+  "latent nothing": "لا شيء كامن",
+  "Inpaint at full resolution": "إعادة الرسم الجزئي بدقة كاملة",
+  "Inpaint at full resolution padding, pixels": "إعادة الرسم الجزئي بدقة كاملة, الحشو, بيكسل",
+  "Process images in a directory on the same machine where the server is running.": "معالجة الصور في المجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
+  "Use an empty output directory to save pictures normally instead of writing to the output directory.": "استخدم مجلد إخراج فارغ لحفظ الصور بشكل طبيعي بدلاً من الكتابة إلى مجلد المخرجات.",
+  "Input directory": "مجلد المدخلات",
+  "Output directory": "مجلد المخرجات",
+  "Resize mode": "وضعية تغيير الحجم",
+  "Just resize": "تغييير الحجم فقط",
+  "Crop and resize": "اقتصاص وتغيير الحجم",
+  "Resize and fill": "تغيير الحجم والتعبئة",
+  "img2img alternative test": "صورة لصورة البديلة",
+  "Loopback": "الحلقة الراجعة",
+  "Outpainting mk2": "الرسم الخارجي نسخة 2",
+  "Poor man's outpainting": "الرسم الخارجي للفقراء",
+  "SD upscale": "ترقية الانتشار المستقر",
+  "should be 2 or lower.": "should be 2 or lower.",
+  "Override `Sampling method` to Euler?(this method is built for it)": "Override `Sampling method` to Euler?(this method is built for it)",
+  "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
+  "Original prompt": "Original prompt",
+  "Original negative prompt": "Original negative prompt",
+  "Override `Sampling Steps` to the same value as `Decode steps`?": "Override `Sampling Steps` to the same value as `Decode steps`?",
+  "Decode steps": "Decode steps",
+  "Override `Denoising strength` to 1?": "Override `Denoising strength` to 1?",
+  "Decode CFG scale": "Decode CFG scale",
+  "Randomness": "Randomness",
+  "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image",
+  "Loops": "Loops",
+  "Denoising strength change factor": "معامل قوة تقليل الضوضاء",
+  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "الإعدادات الموصى بها: خطوات أخذ العينات: 80-100 ، طريقة أخذ العينات: Euler a ، تقليل الضوضاء: 0.8",
+  "Pixels to expand": "عدد البكسل للتوسيع",
+  "Outpainting direction": "إتجاه الرسم الخارجي",
+  "left": "يسار",
+  "right": "يمين",
+  "up": "فوق",
+  "down": "تحت",
+  "Fall-off exponent (lower=higher detail)": "أس التناقص (الأدنى = تفاصيل أعلى)",
+  "Color variation": "اختلاف اللون",
+  "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "سيقوم بترقية الصورة إلى ضعف الأبعاد ؛ استخدم شريط تمرير العرض والارتفاع لضبط حجم التبليط",
+  "Tile overlap": "تداخل التبليط",
+  "Upscaler": "المرقي",
+  "Lanczos": "Lanczos",
+  "Single Image": "صورة واحدة",
+  "Batch Process": "معالجة الدفعات",
+  "Batch from Directory": "دفعة من المجلد",
+  "Source": "مصدر",
+  "Show result images": "إظهار نتائج الصور ",
+  "Scale by": "رفع الحجم بمقدار",
+  "Scale to": "رفع الحجم إلى",
+  "Resize": "تغيير الحجم",
+  "Crop to fit": "اقتصاص للتوافق",
+  "Upscaler 2 visibility": "إظهار المرقي 2",
+  "GFPGAN visibility": "إظهار GFPGAN",
+  "CodeFormer visibility": "إظهار CodeFormer",
+  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "وزن CodeFormer (0 = أقصى تأثير ، 1 = تأثير أدنى)",
+  "Open output directory": "افتح مجلد المخرجات",
+  "Send to txt2img": "أرسل إلى كتابة لصورة",
+  "A merger of the two checkpoints will be generated in your": "سيتم إنشاء نموذجمدمج من النموذجين في",
+  "checkpoint": "النموذج",
+  "directory.": "المجلد.",
+  "Primary model (A)": "النموذج الأساسي (أ)",
+  "Secondary model (B)": "النموذج الثانوي (ب)",
+  "Tertiary model (C)": "النموذج الثالث (ج)",
+  "Custom Name (Optional)": "اسم مخصص (اختياري)",
+  "Multiplier (M) - set to 0 to get model A": "المضاعف (M) - اضبط على 0 للحصول على النموذج أ",
+  "Interpolation Method": "طريقة الاستنباط",
+  "Weighted sum": "المجموع الموزون",
+  "Add difference": "أضافة الاختلاف",
+  "Save as float16": "حفظ  float16",
+  "See": "شاهد",
+  "wiki": "ويكي",
+  "for detailed explanation.": "للحصول على شرح مفصل.",
+  "Create embedding": "إنشاء التضمين",
+  "Create hypernetwork": "إنشاء شبكة فائقة",
+  "Preprocess images": "تجهيز الصور",
+  "Name": "الاسم",
+  "Initialization text": "نص التهيئة",
+  "Number of vectors per token": "عدد المتجهات لكل رمز",
+  "Overwrite Old Embedding": "الكتابة فوق التضمين القديم",
+  "Modules": "الوحدات",
+  "Enter hypernetwork layer structure": "أدخل بنية طبقة الشبكة الفائقة",
+  "Select activation function of hypernetwork": "حدد وظيفة تنشيط الشبكة الفائقة",
+  "linear": "خطي (Linear)",
+  "relu": "الوحدة الخطية المعدلة (Relu)",
+  "leakyrelu": "الوحدة الخطية المعدلة المسربة (Leakyrelu)",
+  "elu": "الوحدة الأسية الخطية (Elu)",
+  "swish": "Swish",
+  "Add layer normalization": "أضف طبقة التسوية",
+  "Use dropout": "استخدم الهبوط",
+  "Overwrite Old Hypernetwork": "الكتابة فوق الشبكة الفائقة القديمة",
+  "Source directory": "مجلد المصدر",
+  "Destination directory": "مجلد النتائج",
+  "Existing Caption txt Action": "الإجراء النصي للتعليق المتوفر",
+  "ignore": "تجاهل",
+  "copy": "نسخ",
+  "prepend": "أضف قبل",
+  "append": "ألحق",
+  "Create flipped copies": "قم بإنشاء نسخ مقلوبة",
+  "Split oversized images": "تقسيم الصور كبيرة الحجم",
+  "Use BLIP for caption": "استخدم BLIP للتعليق",
+  "Use deepbooru for caption": "استخدم deepbooru للتعليق",
+  "Split image threshold": "حد تقسيم الصورة",
+  "Split image overlap ratio": "نسبة تداخل الصورة المنقسمة",
+  "Preprocess": "تجهيز الصور",
+  "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "تدريب التضمين أو الشبكة الفائقة ؛ يجب تحديد مجلد بمجموعة من الصور بنسبة أبعاد 1: 1",
+  "[wiki]": "[ويكي]",
+  "Embedding": "التضمين",
+  "Embedding Learning rate": "معدل تعلم التضمين",
+  "Hypernetwork Learning rate": "معدل تعلم الشبكة الفائقة",
+  "Dataset directory": "مجلد مجموعة البيانات",
+  "Log directory": "مجلد السجل",
+  "Prompt template file": "ملف قالب الموجهات",
+  "Max steps": "الخطوات القصوى",
+  "Save an image to log directory every N steps, 0 to disable": "حفظ صورة في مجلد السجل  كل N خطوات ، 0 للتعطيل",
+  "Save a copy of embedding to log directory every N steps, 0 to disable": "حفظ نسخة من التضمين في مجلد السجل كل N خطوات ، 0 للتعطيل",
+  "Save images with embedding in PNG chunks": "حفظ التضمين مع الصور في أجزاء PNG",
+  "Read parameters (prompt, etc...) from txt2img tab when making previews": "قراءة المتغيرات (الموجه ، إلخ ...) من علامة تبويب نص لصورة عند إجراء المعاينات",
+  "Train Hypernetwork": "تدريب الشبكة الفائقة",
+  "Train Embedding": "تدريب التضمين",
+  "Create an aesthetic embedding out of any number of images": "Create an aesthetic embedding out of any number of images",
+  "Create images embedding": "Create images embedding",
+  "extras": "إضافات",
+  "favorites": "المفضلة",
+  "custom fold": "custom fold",
+  "Load": "تحميل",
+  "Images directory": "مجلد الصور",
+  "Prev batch": "الدفعة السابقة",
+  "Next batch": "الدفعة التالية",
+  "First Page": "الصفحة الأولى",
+  "Prev Page": "الصفحة السابقة",
+  "Page Index": "فهرس الصفحات",
+  "Next Page": "الصفحة التالية",
+  "End Page": "صفحة النهاية",
+  "number of images to delete consecutively next": "عدد الصور المطلوب حذفها على التوالي بعد ذلك",
+  "Delete": "حذف",
+  "Generate Info": "معلومات الإنشاء",
+  "File Name": "اسم الملف",
+  "Collect": "جمع",
+  "Refresh page": "إعادة تحميل الصفحة",
+  "Date to": "التاريخ إلى",
+  "Number": "الرقم",
+  "set_index": "وضع الفهرس",
+  "Checkbox": "صندوق اختيار",
+  "Apply settings": "تطبيق الإعدادات",
+  "Saving images/grids": "حفظ الصور / الإطار الشبكي",
+  "Always save all generated images": "احفظ دائمًا جميع الصور التي تم إنشائها",
+  "File format for images": "تنسيق ملفات الصور",
+  "Images filename pattern": "نمط اسم ملفات الصور",
+  "Add number to filename when saving": "Add number to filename when saving",
+  "Always save all generated image grids": "احفظ دائمًا جميع الإطارات الشبكية للصور التي تم إنشاؤها",
+  "File format for grids": "تنسيق ملفات الإطارات الشبكية",
+  "Add extended info (seed, prompt) to filename when saving grid": "أضف معلومات إضافية (البذرة ، الموجه) إلى اسم الملف عند حفظ الإطار الشبكي",
+  "Do not save grids consisting of one picture": "لا تحفظ الإطارات الشبكية التي تتكون من صورة واحدة",
+  "Prevent empty spots in grid (when set to autodetect)": "منع المناطق الفارغة في الإطار الشبكي (عند الضبط على الاكتشاف التلقائي)",
+  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "عدد صفوف الإطار الشبكي استخدم -1 للاكتشاف التلقائي و 0 ليكون نفس حجم الدُفعة",
+  "Save text information about generation parameters as chunks to png files": "احفظ معلومات نصية حول متغيرات الإنشاء كمقاطع في ملفات png",
+  "Create a text file next to every image with generation parameters.": "قم بإنشاء ملف نصي بجوار كل صورة باستخدام متغيرات الإنشاء.",
+  "Save a copy of image before doing face restoration.": "احفظ نسخة من الصورة قبل القيام بترميم الوجوه.",
+  "Quality for saved jpeg images": "جودة الصور المحفوظة بتنسيق jpeg",
+  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "إذا كانت صورة PNG أكبر من 4 ميجابايت أو كان أي بُعد أكبر من 4000 ، قم بتقليل حجم الصورة وحفظها بتنسيق JPG",
+  "Use original name for output filename during batch process in extras tab": "استخدم الاسم الأصلي لاسم ملف الإخراج أثناء عملية الدُفعات في علامة تبويب الإضافات",
+  "When using 'Save' button, only save a single selected image": "عند استخدام زر 'حفظ' ، احفظ فقط صورة واحدة محددة",
+  "Do not add watermark to images": "لا تقم بإضافة العلامة المائية للصور",
+  "Paths for saving": "مسارات الحفظ",
+  "Output directory for images; if empty, defaults to three directories below": "مجلد المخرجات للصور ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدات الثلاثة أدناه",
+  "Output directory for txt2img images": "مجلد المخرجات لصور نص لصورة",
+  "Output directory for img2img images": "مجلد المخرجات لصور صورة لصورة",
+  "Output directory for images from extras tab": "مجلد المخرجات لصور علامة تبويب الإضافات",
+  "Output directory for grids; if empty, defaults to two directories below": "مجلد المخرجات للإطارات الشبكية ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدين أدناه",
+  "Output directory for txt2img grids": "مجلد المخرجات للإطارات الشبكية نص لصورة",
+  "Output directory for img2img grids": "مجلد المخرجات للإطارات الشبكية صورة لصورة",
+  "Directory for saving images using the Save button": "مجلد لحفظ الصور باستخدام زر حفظ",
+  "Saving to a directory": "يتم الحفظ إلى المجلد..",
+  "Save images to a subdirectory": "حفظ الصور في مجلد فرعي",
+  "Save grids to a subdirectory": "حفظ الإطارات الشبكية في مجلد فرعي",
+  "When using \"Save\" button, save images to a subdirectory": "احفظ الصور في مجلد فرعي عند الضغط على زر الحفظ",
+  "Directory name pattern": "نمط اسم المجلد",
+  "Max prompt words for [prompt_words] pattern": "أقصى عدد لكلمات التوجيه لنمط [كلمات_التوجيه]",
+  "Upscaling": "الارتقاء",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "حجم التبليط لترقيات ESRGAN, القيمة 0= لا يوجد تبليط.",
+  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "تداخل المربعات ، بالبكسل لمرقي ESRGAN. القيم المنخفضة = تداخل مرئي.",
+  "Tile size for all SwinIR.": "حجم التليط لجميع عمليات SwinIR.",
+  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "تداخل المربعات بالبكسل لـ SwinIR. القيم المنخفضة = تداخل مرئي.",
+  "LDSR processing steps. Lower = faster": "خطوات معالجة LDSR. أقل = أسرع",
+  "Upscaler for img2img": "المرقي لصورة لصورة",
+  "Upscale latent space image when doing hires. fix": "ترقية صورة الفضاء الكامن عند التعيينات. تصليح",
+  "Face restoration": "ترميم الوجوه",
+  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "متغيرات وزن CodeFormer ؛ 0 = أقصى تأثير ؛ 1 = الحد الأدنى من التأثير",
+  "Move face restoration model from VRAM into RAM after processing": "انقل نموذج استعادة الوجوه من VRAM إلى RAM بعد المعالجة",
+  "System": "نظام",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "استطلاعات استخدام VRAM في الثانية أثناء الإنشاء. اضبط على 0 للتعطيل.",
+  "Always print all generation info to standard output": "قم دائمًا بطباعة جميع معلومات الإنشاء إلى المخرج القياسي",
+  "Add a second progress bar to the console that shows progress for an entire job.": "أضف شريط تقدم آخر إلى وحدة التحكم يُظهر التدقم الكلي للمهمة.",
+  "Training": "التدريب",
+  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "تفريغ VAE و CLIP من VRAM عند التدريب",
+  "Filename word regex": "اسم ملف كلمات regex",
+  "Filename join string": "سلسلة أحرف دمج أسماء الملفات",
+  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "عدد التكرارات لصورة إدخال واحدة لكل حقبة ؛ تستخدم فقط لعرض رقم الحقبة",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "حفظ ملف csv يحتوي على الخسارة إلى مجلد السجل كل N خطوات ، 0 للتعطيل",
+  "Stable Diffusion": "انتشار مستقر",
+  "Checkpoints to cache in RAM": "التخزين المؤقت للنماذج في RAM",
+  "Hypernetwork strength": "قوة الشبكة الفائقة",
+  "Apply color correction to img2img results to match original colors.": "قم بتطبيق تصحيح الألوان على نتائج صورة لصورة لمطابقة الألوان الأصلية.",
+  "Save a copy of image before applying color correction to img2img results": "احفظ نسخة من الصورة قبل تطبيق تصحيح الألوان على نتائج  صورة لصورة",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "باستخدام صورة لصورة ، قم بالضبط بعدد الخطوات التي يحددها شريط التمرير (عادةً ما سيكون أقل مع تقليل التشويش).",
+  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "تمكين تكميم عينات K للحصول على نتائج أوضح وأنظف. هذا قد يغير البذرة المستخدمة. يتطلب إعادة التشغيل للتطبيق.",
+  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "التأكيد: استخدم (النص) لجعل النموذج يولي مزيدًا من الاهتمام للنص و استخدم [النص] لجعل النموذج يولي اهتمامًا أقل  للنص",
+  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "استخدم طريقة التأكيد القديمة. يمكن أن يكون مفيدًا لإعادة إنتاج البذور القديمة.",
+  "Make K-diffusion samplers produce same images in a batch as when making a single image": "اجعل انظمة أخذ عينات الانتشار K تنتج نفس الصور في الدفعات كما هو الحال عند إنشاء صورة واحدة",
+  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "زيادة التناسق عن طريق المساحة المتروكة من الفاصلة الأخيرة ضمن عدد n من الرموز المميزة عند استخدام أكثر من 75 رمزًا مميزًا",
+  "Filter NSFW content": "تصفية المحتوى الإباحي",
+  "Stop At last layers of CLIP model": "توقف عند آخر طبقات نموذج CLIP",
+  "Interrogate Options": "خيارات الاستجواب",
+  "Interrogate: keep models in VRAM": "الاستجواب: احتفظ بالنماذج في VRAM",
+  "Interrogate: use artists from artists.csv": "الاستجواب: استخدم  قائمة الفنانين من ملف artists.csv",
+  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "الاستجواب: قم بتضمين رتب علامات النموذج في النتائج (ليس له تأثير على الاستجواب المستند إلى التعليقات).",
+  "Interrogate: num_beams for BLIP": "الاستجواب: عدد الحزم لـ BLIP",
+  "Interrogate: minimum description length (excluding artists, etc..)": "الاستجواب: الحد الأدنى لطول الوصف (باستثناء الفنانين ،إلخ..)",
+  "Interrogate: maximum description length": "الاستجواب: الحد الأقصى لطول الوصف",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: أقصى عدد من الأسطر في الملف النصي (0 = بلا حدود)",
+  "Interrogate: deepbooru score threshold": "الاستجواب: عتبة درجات deepbooru",
+  "Interrogate: deepbooru sort alphabetically": "الاستجواب: الترتيب الأبجدي لـ deepbooru",
+  "use spaces for tags in deepbooru": "استخدام مسافات للعلامات في deepbooru",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "تجاهل الأقواس عند استخدام deepbooru (كي لا تعامل كأقواس التشديد)",
+  "User interface": "واجهة المستخدم",
+  "Show progressbar": "إظهار شريط التقدم",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "إظهار تقدم إنشاء الصورة لكل N خطوة من خطوات أخذ العينات. قم بتعيين 0 للتعطيل.",
+  "Show previews of all images generated in a batch as a grid": "إظهار معاينة لجميع الصور التي يتم إنشائها في الدفعة كإطار شبكي",
+  "Show grid in results for web": "إظهار الإطار الشبكي في نتائج الويب",
+  "Do not show any images in results for web": "لا تظهر أي صور في نتائج الويب",
+  "Add model hash to generation information": "أضف معلومات الهاش للنموذج إلى معلومات الإنشاء",
+  "Add model name to generation information": "أضف اسم النموذج إلى معلومات الإنشاء",
+  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "عند قراءة متغيرات الإنشاء من النص إلى واجهة المستخدم (من معلومات PNG أو النص الملصق) ، لا تقم بتغيير النموذج",
+  "Font for image grids that have text": "الخط المستخدم للإطارات الشبكية للصور التي تحتوي على نص",
+  "Enable full page image viewer": "تفعيل عارض الصور ذو الصفحة الكاملة",
+  "Show images zoomed in by default in full page image viewer": "إظهار الصور التي تم تكبيرها بشكل افتراضي في عارض الصور ذو الصفحة الكاملة",
+  "Show generation progress in window title.": "إظهار تقدم الإنشاء في عنوان الشاشة.",
+  "Quicksettings list": "قائمة الإعدادات السريعة",
+  "Localization (requires restart)": "الترجمة (يتطلب إعادة التشغيل)",
+  "Sampler parameters": "متغيرات أنظمة اخذ العينات",
+  "Hide samplers in user interface (requires restart)": "إخفاء أنظمة أخذ العينات في واجهة المستخدم (يتطلب إعادة التشغيل)",
+  "eta (noise multiplier) for DDIM": "الوقت المتبقي (مضاعف الضوضاء) لـ DDIM",
+  "eta (noise multiplier) for ancestral samplers": "الوقت المتبقي (مضاعف الضوضاء) لأنظمة أخذ العينات التي تعتمد على الأجداد",
+  "img2img DDIM discretize": "تفصل DDIM لصورة لصورة",
+  "uniform": "التوحيد",
+  "quad": "رباعية",
+  "sigma churn": "دفع سيجما",
+  "sigma tmin": "سيجما tmin",
+  "sigma noise": "ضجيج سيجما",
+  "Eta noise seed delta": "الوقت المتوقع لديلتا بذرة الضجيج ",
+  "Images Browser": "مستعرض الصور",
+  "Preload images at startup": "تحميل الصور مسبقًا عند بدء التشغيل",
+  "Number of columns on the page": "Number of columns on the page",
+  "Number of rows on the page": "Number of rows on the page",
+  "Minimum number of pages per load": "الحد الأدنى لعدد الصفحات لكل تحميل",
+  "Request browser notifications": "طلب إشعارات المتصفح",
+  "Download localization template": "تنزيل نموذج الترجمة",
+  "Reload custom script bodies (No ui updates, No restart)": "إعادة تحميل السكريبتات المخصصة (لا توجد تحديثات لواجهة المستخدم ، لا إعادة تشغيل)",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعادة تشغيل  Gradio و تحديث مكونات واجهة الاستخدام (السكريبتات و ui.py و js و css فقط)",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه السلبي (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
+  "Add a random artist to the prompt.": "أضف فنانًا عشوائيًا إلى الموجه.",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "قراءة متغيرات الإنشاء من الموجه أو الإنشاء الأخير إذا كان الموجه فارغا في واجهة المستخدم.",
+  "Save style": "حفظ النمط",
+  "Apply selected styles to current prompt": "تطبيق الأنماط المحددة للموجه الحالي",
+  "Stop processing current image and continue processing.": "توقف عن معالجة الصورة الحالية واستمر في المعالجة.",
+  "Stop processing images and return any results accumulated so far.": "توقف عن معالجة الصور وقم بإرجاع أي نتائج متراكمة حتى الآن.",
+  "Style to apply; styles have components for both positive and negative prompts and apply to both": "النمط المطلوب تطبيقه ؛ الأنماط لها مكونات لكل من الموجهات الإيجابية والسلبية وتنطبق على كليهما",
+  "Do not do anything special": "لا تفعل أي شيء خاص",
+  "Which algorithm to use to produce the image": "الخوارزمية التي يجب استخدامها لإنتاج الصورة",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - مبدع جدًا ، يمكن لكل منها الحصول على صورة مختلفة تمامًا اعتمادًا على عدد الخطوات ، تعيين الخطوات على أعلى من 30-40 لا يعطي نتيجة مفيدة",
+  "Denoising Diffusion Implicit Models - best at inpainting": "نماذج تقليل التشويش الضمني  - أفضل اسخدام في الرسم الجزئي",
+  "Produce an image that can be tiled.": "أنتج صورة يمكن تبليطها.",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "استخدم عملية من خطوتين لإنشاء صورة جزئيًا بدقة أقل ثم ترقيتها و تحسين تفاصيلها دون تغيير التكوين",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "يحدد مدى ضآلة احترام الخوارزمية لمحتوى الصورة. عند 0 ، لن يتغير شيء ، وعند 1 ستحصل على صورة لا صلة لها بالصورة الأصلية. مع وجود قيم أقل من 1.0 ، المعالجة ستأخذ خطوات أقل مما يحدده شريط تمرير خطوات المعالجة.",
+  "How many batches of images to create": "كم عدد دفعات الصور التي يتم إنشائها",
+  "How many image to create in a single batch": "كم صورة يتم إنشائها دفعة واحدة",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "مقياس التوجيه الحر للمصنف - إلى أي مدى يجب أن تتوافق الصورة مع الموجه - القيم المنخفضة تنتج نتائج أكثر إبداعًا",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "القيمة التي تحدد ناتج منشئ الأرقام العشوائية - إذا قمت بإنشاء صورة بنفس المتغيرات و بذرة الصورة ، فستحصل على نفس النتيجة",
+  "Set seed to -1, which will cause a new random number to be used every time": "عيّن البذرة إلى -1 ، مما سيؤدي إلى استخدام رقم عشوائي جديد في كل مرة",
+  "Reuse seed from last generation, mostly useful if it was randomed": "إعادة استخدام البذرة من الإنشاء الأخير ، وتكون مفيدة في الغالب إذا كانت عشوائية",
+  "Seed of a different picture to be mixed into the generation.": "استخدام بذرة من صورة مختلفة ليتم مزجها في الإنشاء.",
+  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "ما مدى قوة التباين عند الإنشاء. 0 ، لن يكون هناك أي تأثير. 1 ، ستحصل على الصورة الكاملة ببذور التباين (باستثناء أنظمة عينات الأسلاف ، حيث ستحصل على شيء ما فقط).",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "قم بمحاولة لإنتاج صورة مشابهة لما تم إنتاجه بنفس البذرة بناءا على دقة محددة",
+  "This text is used to rotate the feature space of the imgs embs": "This text is used to rotate the feature space of the imgs embs",
+  "Separate values for X axis using commas.": "افصل بين قيم المحور X باستخدام الفواصل.",
+  "Separate values for Y axis using commas.": "افصل بين قيم المحور Y باستخدام الفواصل.",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "اكتب الصورة إلى مجلد (الافتراضي -  log/images) وتوليد المتغيرات في ملف csv.",
+  "Open images output directory": "افتح مجلد مخرجات الصور",
+  "How much to blur the mask before processing, in pixels.": "كم يتم تضبيب القناع قبل المعالجة ، بالبكسل.",
+  "What to put inside the masked area before processing it with Stable Diffusion.": "ما يجب وضعه داخل المنطقة المقنعة قبل معالجتها باستخدام الانتشار المستقر.",
+  "fill it with colors of the image": "املأها بألوان الصورة",
+  "keep whatever was there originally": "احتفظ بكل ما كان هناك في الأصل",
+  "fill it with latent space noise": "املأه بضوضاء الفضاء الكامنة",
+  "fill it with latent space zeroes": "املأه بأصفار الفضاء الكامنة",
+  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "قم بترقية المنطقة المقنعة إلى الدقة المستهدفة و الرسم الجزئي ثم تقليص الحجم  واللصق في الصورة الأصلية",
+  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "تغيير حجم الصورة إلى الدقة المستهدفة. ما لم يتطابق الطول والعرض ، ستحصل على نسبة عرض إلى ارتفاع غير صحيحة.",
+  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "قم بتغيير حجم الصورة بحيث يتم ملء الدقة المستهدفة بالكامل بالصورة. يتم قطع المناطق التي تبرز.",
+  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "قم بتغيير حجم الصورة بحيث تكون الصورة بأكملها داخل الدقة المستهدفة. املأ المساحة الفارغة بألوان الصورة.",
+  "How many times to repeat processing an image and using it as input for the next iteration": "كم مرة يتم تكرار معالجة صورة واستخدامها  كمدخل للتكرار التالي",
+  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "في وضع حلقة الاسترجاع ، يتم ضرب قوة تقليل الضوضاء بهذه القيمة في كل حلقة. يعني <1 تقليل التنوع بحيث يتقارب التسلسل الخاص بك على صورة ثابتة. > 1 يعني زيادة التنوع بحيث يصبح تسلسلك أكثر وأكثر فوضوية.",
+  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "الترقية باستخدام الانتشار المستقر ، كم يجب أن يكون مقدار التداخل بالبكسل بين المربعات. تتداخل المربعات بحيث لا يكون هناك خط واضح للعيان عند دمجها مرة أخرى في صورة واحدة.",
+  "A directory on the same machine where the server is running.": "مجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
+  "Leave blank to save images to the default path.": "اتركه فارغًا لحفظ الصور في المسار الافتراضي.",
+  "Result = A * (1 - M) + B * M": "النتيجة = A * (1 - M) + B * M",
+  "Result = A + (B - C) * M": "النتيجة = A + (B - C) * M",
+  "1st and last digit must be 1. ex:'1, 2, 1'": "يجب أن يكون الرقم الأول والأخير 1. على سبيل المثال: '1 ، 2 ، 1'",
+  "Path to directory with input images": "المسار إلى مجلد الصور المدخلة",
+  "Path to directory where to write outputs": "المسار إلى مجلد كتابة النتائج",
+  "Input images directory": "مجلد الصور المدخلة",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتعريف كيفية اختيار أسماء الملفات للصور: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
+  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "إذا تم تمكين هذا الخيار ، فلن تتم إضافة العلامة المائية إلى الصور التي تم إنشاؤها. تحذير: إذا لم تقم بإضافة علامة مائية ، فقد تكون تتصرف بطريقة غير أخلاقية.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتحديد كيفية اختيار المجادت الفرعية للصور و الإطارات الشبكية : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
+  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "سيتم استخدام هذا التعبير العادي لاستخراج الكلمات من اسم الملف ، وسيتم ضمها باستخدام الخيار أدناه في نص التسمية المستخدم للتدريب. اتركه فارغًا للاحتفاظ بنص اسم الملف كما هو.",
+  "This string will be used to join split words into a single line if the option above is enabled.": "سيتم استخدام هذا النص لضم الكلمات المقسمة إلى سطر واحد إذا تم تمكين الخيار أعلاه.",
+  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "قائمة أسماء الإعدادات ، مفصولة بفواصل ، للإعدادات التي يجب أن تنتقل إلى شريط الوصول السريع في الأعلى ، بدلاً من علامة تبويب الإعداد المعتادة. انظر modules / shared.py للتعرف على أسماء الإعدادات. يتطلب إعادة التشغيل للتطبيق.",
+  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "إذا كانت هذه القيم غير صفرية ، فستتم إضافتها إلى البذرة واستخدامها لتهيئة فوضى الضوضاء عند استخدام أنظمة أخذ العينات باستخدام الوقت المتبقي. يمكنك استخدام ذلك لإنتاج المزيد من التنوعات في الصور ، أو يمكنك استخدامه لمطابقة صور البرامج الأخرى إذا كنت تعرف ما تفعله."
 }
\ No newline at end of file
diff --git a/localizations/es_ES.json b/localizations/es_ES.json
new file mode 100644
index 00000000..d9ca4ef7
--- /dev/null
+++ b/localizations/es_ES.json
@@ -0,0 +1,418 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Cargando...",
+    "view": "mostrar",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "Construido con Gradio",
+    "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "Extras",
+    "PNG Info": "PNG Info",
+    "Checkpoint Merger": "Checkpoint Merger",
+    "Train": "Train",
+    "Settings": "Ajustes",
+    "Prompt": "Prompt",
+    "Negative prompt": "Prompt negativo",
+    "Run": "Ejecutar",
+    "Skip": "Saltar",
+    "Interrupt": "Interrumpir",
+    "Generate": "Generar",
+    "Style 1": "Estilo 1",
+    "Style 2": "Estilo 2",
+    "Label": "Etiqueta",
+    "File": "Archivo",
+    "Drop File Here": "Suelta el Archivo Aquí",
+    "-": "-",
+    "o": "o",
+    "Click to Upload": "Click para Cargar",
+    "Image": "Imagen",
+    "Check progress": "Comprobar progreso",
+    "Check progress (first)": "Comprobar progreso (inicial)",
+    "Sampling Steps": "Sampling Steps",
+    "Sampling method": "Sampling method",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Ancho",
+    "Height": "Alto",
+    "Restore faces": "Restaurar rostros",
+    "Tiling": "Mosaico",
+    "Highres. fix": "Highres. fix",
+    "Firstpass width": "Ancho original",
+    "Firstpass height": "Alto original",
+    "Denoising strength": "Denoising strength",
+    "Batch count": "Batch count",
+    "Batch size": "Batch size",
+    "CFG Scale": "CFG Scale",
+    "Seed": "Seed",
+    "Extra": "Extra",
+    "Variation seed": "Variation seed",
+    "Variation strength": "Variation strength",
+    "Resize seed from width": "Redimensionar seed del ancho",
+    "Resize seed from height": "Redimensionar seed del alto",
+    "Script": "Script",
+    "None": "Ninguno",
+    "Prompt matrix": "Prompt matrix",
+    "Prompts from file or textbox": "Prompts desde archivo o campo de texto",
+    "X/Y plot": "X/Y plot",
+    "Put variable parts at start of prompt": "Poner partes variables al inicio del prompt",
+    "Show Textbox": "Mostrar Campo de texto",
+    "File with inputs": "Archivo con inputs",
+    "Prompts": "Prompts",
+    "X type": "X type",
+    "Nothing": "Nada",
+    "Var. seed": "Var. seed",
+    "Var. strength": "Var. strength",
+    "Steps": "Steps",
+    "Prompt S/R": "Prompt S/R",
+    "Prompt order": "Prompt order",
+    "Sampler": "Sampler",
+    "Checkpoint name": "Checkpoint name",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Hypernet str.",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "Sigma min",
+    "Sigma max": "Sigma max",
+    "Sigma noise": "Sigma noise",
+    "Eta": "Eta",
+    "Clip skip": "Clip skip",
+    "Denoising": "Denoising",
+    "X values": "X values",
+    "Y type": "Y type",
+    "Y values": "Y values",
+    "Draw legend": "Agregar leyenda",
+    "Include Separate Images": "Incluir Imágenes Separadas",
+    "Keep -1 for seeds": "Mantener -1 para seeds",
+    "Drop Image Here": "Suelta la Imagen Aquí",
+    "Save": "Guardar",
+    "Send to img2img": "Enviar a img2img",
+    "Send to inpaint": "Enviar a inpaint",
+    "Send to extras": "Enviar a extras",
+    "Make Zip when Save?": "Crear Zip al Guardar?",
+    "Textbox": "Campo de texto",
+    "Interrogate\nCLIP": "Interrogar\nCLIP",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Batch img2img",
+    "Image for img2img": "Imagen para img2img",
+    "Image for inpainting with mask": "Imagen para inpainting con mask",
+    "Mask": "Mask",
+    "Mask blur": "Mask blur",
+    "Mask mode": "Mask mode",
+    "Draw mask": "Dibujar mask",
+    "Upload mask": "Cargar mask",
+    "Masking mode": "Masking mode",
+    "Inpaint masked": "Inpaint masked",
+    "Inpaint not masked": "Inpaint not masked",
+    "Masked content": "Masked content",
+    "fill": "fill",
+    "original": "original",
+    "latent noise": "latent noise",
+    "latent nothing": "latent nothing",
+    "Inpaint at full resolution": "Inpaint a resolución completa",
+    "Inpaint at full resolution padding, pixels": "Inpaint a resolución completa padding, pixeles",
+    "Process images in a directory on the same machine where the server is running.": "Procesa imágenes en un directorio en la misma máquina donde se ejecuta el servidor.",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Usa un directorio de salida vacío para guardar imágenes normalmente en lugar de escribir en el directorio de salida.",
+    "Input directory": "Directorio de entrada",
+    "Output directory": "Directorio de salida",
+    "Resize mode": "Modo de cambio de tamaño",
+    "Just resize": "Solo redimensionar",
+    "Crop and resize": "Recortar y redimensionar",
+    "Resize and fill": "Redimensionar y rellenar",
+    "img2img alternative test": "img2img alternative test",
+    "Loopback": "Loopback",
+    "Outpainting mk2": "Outpainting mk2",
+    "Poor man's outpainting": "Poor man's outpainting",
+    "SD upscale": "SD upscale",
+    "should be 2 or lower.": "debe ser 2 o menos.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Anular `Sampling method` a Euler? (este método está diseñado para ello)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Anular `prompt` al mismo valor `prompt original`? (y `prompt negativo`)",
+    "Original prompt": "Prompt original",
+    "Original negative prompt": "Promp negativo original",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Anular `Sampling Steps` al mismo valor de `Decode steps`?",
+    "Decode steps": "Decode steps",
+    "Override `Denoising strength` to 1?": "Anular `Denoising strength` a 1?",
+    "Decode CFG scale": "Decode CFG scale",
+    "Randomness": "Aleatoriedad",
+    "Sigma adjustment for finding noise for image": "Ajuste Sigma para encontrar ruido para la imagen.",
+    "Loops": "Loops",
+    "Denoising strength change factor": "Denoising strength change factor",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Ajustes recomendados: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8",
+    "Pixels to expand": "Píxeles para expandir",
+    "Outpainting direction": "Dirección Outpainting",
+    "left": "izquierda",
+    "right": "derecha",
+    "up": "arriba",
+    "down": "abajo",
+    "Fall-off exponent (lower=higher detail)": "Fall-off exponent (inferior=mayor detalle)",
+    "Color variation": "Variación de color",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Mejorará la imagen al doble de las dimensiones; usa los controles deslizantes de ancho y alto para establecer el tamaño del mosaico",
+    "Tile overlap": "Solapar mosaicos",
+    "Upscaler": "Upscaler",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "SwinIR 4x": "SwinIR 4x",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "Single Image": "Imagen Única",
+    "Batch Process": "Batch Process",
+    "Batch from Directory": "Batch desde Directorio",
+    "Source": "Origen",
+    "Show result images": "Mostrar resultados de imágenes",
+    "Scale by": "Escalar por",
+    "Scale to": "Escalar a",
+    "Resize": "Redimensionar",
+    "Crop to fit": "Recortar para ajustar",
+    "Upscaler 2 visibility": "Upscaler 2 visibilidad",
+    "GFPGAN visibility": "GFPGAN visibilidad",
+    "CodeFormer visibility": "CodeFormer visibilidad",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer peso (0 = efecto máximo, 1 = efecto mínimo)",
+    "Open output directory": "Abrir directorio de salida",
+    "Send to txt2img": "Enviar a txt2img",
+    "A merger of the two checkpoints will be generated in your": "Se generará una fusión de los dos checkpoints en su",
+    "checkpoint": "checkpoint",
+    "directory.": "directorio.",
+    "Primary model (A)": "Modelo primario (A)",
+    "Secondary model (B)": "Modelo secundario (B)",
+    "Tertiary model (C)": "Modelo terciario (C)",
+    "Custom Name (Optional)": "Nombre personalizado (Opcional)",
+    "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - establecer en 0 para obtener el modelo A",
+    "Interpolation Method": "Método de interpolación",
+    "Weighted sum": "Weighted sum",
+    "Add difference": "Add difference",
+    "Save as float16": "Guardar como float16",
+    "See": "Ver ",
+    "wiki": "wiki ",
+    "for detailed explanation.": "para una explicación detallada.",
+    "Create embedding": "Crear embedding",
+    "Create hypernetwork": "Crear hypernetwork",
+    "Preprocess images": "Preprocesar imágenes",
+    "Name": "Nombre",
+    "Initialization text": "Texto de inicialización",
+    "Number of vectors per token": "Número de vectores por token",
+    "Overwrite Old Embedding": "Sobrescribir Embedding Anterior",
+    "Modules": "Módulos",
+    "Enter hypernetwork layer structure": "Ingresa la estructura de capa del hypernetwork",
+    "Select activation function of hypernetwork": "Selecciona la función de activación del hypernetwork",
+    "linear": "linear",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "Add layer normalization": "Agregar normalización de capa",
+    "Use dropout": "Usar dropout",
+    "Overwrite Old Hypernetwork": "Sobrescribir Hypernetwork Anterior",
+    "Source directory": "Directorio de origen",
+    "Destination directory": "Directorio de salida",
+    "Existing Caption txt Action": "Existing Caption txt Action",
+    "ignore": "ignorar",
+    "copy": "copiar",
+    "prepend": "anteponer",
+    "append": "añadir",
+    "Create flipped copies": "Crear copias volteadas",
+    "Split oversized images": "Dividir imágenes grandes",
+    "Use BLIP for caption": "Usar BLIP para subtítulo",
+    "Use deepbooru for caption": "Usar deepbooru para subtítulo",
+    "Split image threshold": "Threshold imagen dividida",
+    "Split image overlap ratio": "Overlap ratio imagen dividida",
+    "Preprocess": "Preproceso",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Entrenar un embedding o Hypernetwork; debes especificar un directorio con un conjunto de imágenes con una proporción de 1:1 ",
+    "[wiki]": "[wiki]",
+    "Embedding": "Embedding",
+    "Embedding Learning rate": "Embedding Learning rate",
+    "Hypernetwork Learning rate": "Hypernetwork Learning rate",
+    "Dataset directory": "Directorio dataset",
+    "Log directory": "Directorio log",
+    "Prompt template file": "Prompt archivos plantilla",
+    "Max steps": "Max steps",
+    "Save an image to log directory every N steps, 0 to disable": "Guarda una imagen en el directorio log cada N pasos, 0 para deshabilitar",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Guarda una copia de embedding en el directorio log cada N pasos, 0 para deshabilitar",
+    "Save images with embedding in PNG chunks": "Guarda imágenes con embedding en fragmentos PNG",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Leer parámetros (prompt, etc...) desde la pestaña txt2img al hacer vistas previas",
+    "Train Hypernetwork": "Train Hypernetwork",
+    "Train Embedding": "Train Embedding",
+    "Apply settings": "Aplicar ajustes",
+    "Saving images/grids": "Guardar imágenes/grids",
+    "Always save all generated images": "Siempre guardar imágenes generadas",
+    "File format for images": "Formato de archivo para imágenes",
+    "Images filename pattern": "Patrón nombre archivo imágenes",
+    "Add number to filename when saving": "Agregar número al nombre de archivo al guardar",
+    "Always save all generated image grids": "Siempre guardar grids de imágenes generadas",
+    "File format for grids": "Formato de archivo para grids",
+    "Add extended info (seed, prompt) to filename when saving grid": "Agregar información extendida (seed, prompt) al nombre del archivo al guardar grid",
+    "Do not save grids consisting of one picture": "No guardar grids que consisten en una imagen",
+    "Prevent empty spots in grid (when set to autodetect)": "Evitar espacios vacíos en grids (cuando se establece detección automática)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Recuento de filas de grids; usar -1 para la detección automática y 0 para que sea igual al batch size",
+    "Save text information about generation parameters as chunks to png files": "Guardar información de texto sobre parámetros de generación como fragmentos en archivos png",
+    "Create a text file next to every image with generation parameters.": "Crear un archivo de texto junto a cada imagen con parámetros de generación.",
+    "Save a copy of image before doing face restoration.": "Guardar una copia de la imagen antes de restaurar rostro.",
+    "Quality for saved jpeg images": "Calidad para imágenes jpeg guardadas",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Si la imagen PNG es más grande de 4 MB o cualquier dimensión es más grande que 4000, reduce la escala y guarda la copia como JPG",
+    "Use original name for output filename during batch process in extras tab": "Use el nombre original para el nombre del archivo de salida durante el batch process en la pestaña extras",
+    "When using 'Save' button, only save a single selected image": "Al usar el botón 'Guardar', solo guarda una sola imagen seleccionada",
+    "Do not add watermark to images": "No agregar watermark a las imágenes",
+    "Paths for saving": "Directorios para guardar",
+    "Output directory for images; if empty, defaults to three directories below": "Directorio de imágenes; si está vacío, se utilizan los siguientes 3 directorios",
+    "Output directory for txt2img images": "Directorio para guardar imágenes de txt2img",
+    "Output directory for img2img images": "Directorio para guardar imágenes de img2img",
+    "Output directory for images from extras tab": "Directorio para guardar imágenes de extras",
+    "Output directory for grids; if empty, defaults to two directories below": "Directorio de grids; si está vacío, se utilizan los siguientes 2 directorios",
+    "Output directory for txt2img grids": "Directorio para guardar txt2img grids",
+    "Output directory for img2img grids": "Directorio para guardar img2img grids",
+    "Directory for saving images using the Save button": "Directorio para guardar imágenes usando el botón Guardar",
+    "Saving to a directory": "Guardando a un directorio",
+    "Save images to a subdirectory": "Guardar imágenes a un subdirectorio",
+    "Save grids to a subdirectory": "Guardar grids a un subdirectorio",
+    "When using \"Save\" button, save images to a subdirectory": "Al usar el botón \"Guardar\", guarda las imágenes en un subdirectorio",
+    "Directory name pattern": "Patrón nombre directorio",
+    "Max prompt words for [prompt_words] pattern": "Máximo de palabras en prompt [prompt_words] para patrón",
+    "Upscaling": "Upscaling",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tamaño mosaico para ESRGAN upscalers. 0 = sin mosaico.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Solapar mosaico, en pixeles para ESRGAN upscalers. Valores bajos = unión visible.",
+    "Tile size for all SwinIR.": "Tamaño mosaico para SwinIR.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Solapar mosaico, en pixeles para SwinIR. Valores bajos = unión visible.",
+    "LDSR processing steps. Lower = faster": "LDSR processing steps. Más bajo = rápido",
+    "Upscaler for img2img": "Upscaler para img2img",
+    "Upscale latent space image when doing hires. fix": "Upscale latent space al aplicar hires. fix",
+    "Face restoration": "Restauración de rostro",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer parámetro peso; 0 = máximo efecto; 1 = mínimo efecto",
+    "Move face restoration model from VRAM into RAM after processing": "Mover modelo de restauración de rostro del VRAM al RAM después de procesar",
+    "System": "Sistema",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Sondeos de uso de VRAM por segundo durante la generación. Establecer en 0 para deshabilitar.",
+    "Always print all generation info to standard output": "Imprime siempre toda la información de generación en la salida estándar",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Agrega una segunda barra de progreso a la consola que muestra el progreso de un trabajo completo.",
+    "Training": "Entrenamiento",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Mover VAE y CLIP al RAM al entrenar un hypernetwork. Ahorra VRAM.",
+    "Filename word regex": "Filename word regex",
+    "Filename join string": "Filename join string",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Número de repeticiones para una sola imagen de entrada por epoch; utilizado solo para mostrar el número epoch",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Guarda un csv que contenga la pérdida en el directorio log cada N pasos, 0 para deshabilitar",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "Checkpoints al cache en RAM",
+    "Hypernetwork strength": "Hypernetwork strength",
+    "Apply color correction to img2img results to match original colors.": "Aplica la corrección de color a los resultados de img2img para que coincidan con los colores originales.",
+    "Save a copy of image before applying color correction to img2img results": "Guarda una copia de la imagen antes de aplicar la corrección de color a los resultados de img2img",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Con img2img, hace exactamente la cantidad de pasos que especifica el slider (normalmente haría menos con menos eliminación de ruido).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Habilita la cuantificación en K samplers para obtener resultados más nítidos y limpios. Esto puede cambiar los seeds existentes. Requiere reiniciar para aplicar.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Énfasis: utiliza (texto) para que el modelo preste más atención al texto y [texto] para que preste menos atención",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Utiliza la implementación de énfasis antiguo. Puede ser útil para reproducir seeds anteriores.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Hace que los K-diffusion samplers produzcan las mismas imágenes en un lote que cuando se crea una sola imagen",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta la coherencia rellenando desde la última coma dentro de n tokens cuando se use más de 75 tokens",
+    "Filter NSFW content": "Filtrar contenido NSFW",
+    "Stop At last layers of CLIP model": "Detener en las últimas capas del modelo CLIP",
+    "Interrogate Options": "Opciones de Interrogar",
+    "Interrogate: keep models in VRAM": "Interrogar: mantener modelos en VRAM",
+    "Interrogate: use artists from artists.csv": "Interrogar: utilizar artistas de artists.csv",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogar: incluir rangos de coincidencias de etiquetas de modelos en los resultados (No tiene efecto en los interrogadores basados en subtítulos).",
+    "Interrogate: num_beams for BLIP": "Interrogar: num_beams para BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Interrogar: longitud mínima de la descripción (excluyendo artistas, etc.)",
+    "Interrogate: maximum description length": "Interrogar: longitud máxima de la descripción",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: número máximo de líneas en el archivo de texto (0 = Sin límite)",
+    "Interrogate: deepbooru score threshold": "Interrogar: deepbooru score threshold",
+    "Interrogate: deepbooru sort alphabetically": "Interrogar: deepbooru ordenar alfabéticamente",
+    "use spaces for tags in deepbooru": "usar espacios para etiquetas en deepbooru",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "corchetes de escape (\\) en deepbooru (por lo que se usan como corchetes literales y no para enfatizar)",
+    "User interface": "Interfaz de usuario",
+    "Show progressbar": "Mostrar barra de progreso",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Muestra el progreso de creación de la imagen cada N sampling steps. Establecer 0 para deshabilitar.",
+    "Show previews of all images generated in a batch as a grid": "Mostrar vistas previas de todas las imágenes generadas en un batch como un grid",
+    "Show grid in results for web": "Mostrar grids en resultados para web",
+    "Do not show any images in results for web": "No mostrar ninguna imagen en los resultados para web",
+    "Add model hash to generation information": "Agregar hash de modelo a la información de generación",
+    "Add model name to generation information": "Agregar nombre de modelo a la información de generación",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Al leer los parámetros de generación del texto en la interfaz de usuario (desde PNG Info o texto pegado), no cambia el modelo/checkpoint seleccionado.",
+    "Font for image grids that have text": "Tipografía para grids de imágenes que tienen texto",
+    "Enable full page image viewer": "Habilitar visor de imágenes de página completa",
+    "Show images zoomed in by default in full page image viewer": "Mostrar imágenes ampliadas de forma predeterminada en el visor de imágenes de página completa",
+    "Show generation progress in window title.": "Muestra el progreso de la generación en el título de la ventana del navegador.",
+    "Quicksettings list": "Lista de ajustes rápidos",
+    "Localization (requires restart)": "Traducción (requiere reiniciar)",
+    "Sampler parameters": "Parámetros sampler",
+    "Hide samplers in user interface (requires restart)": "Ocultar samplers en interfaz de usuario (requiere reiniciar)",
+    "eta (noise multiplier) for DDIM": "eta (noise multiplier) para DDIM",
+    "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) para ancestral samplers",
+    "img2img DDIM discretize": "img2img DDIM discretize",
+    "uniform": "uniform",
+    "quad": "quad",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma noise",
+    "Eta noise seed delta": "Eta noise seed delta",
+    "Request browser notifications": "Solicitar notificaciones del navegador",
+    "Download localization template": "Descargar plantilla de traducción",
+    "Reload custom script bodies (No ui updates, No restart)": "Recargar custom script bodies (Sin actualizar UI, Sin reiniciar)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Reiniciar Gradio y Refrescar componentes (Custom Scripts, ui.py, js y css)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (presiona Ctrl+Enter o Alt+Enter para generar)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt negativo (presiona Ctrl+Enter o Alt+Enter para generar)",
+    "Add a random artist to the prompt.": "Agregar un artista aleatorio al prompt.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Leer los parámetros de generación del prompt o de la última generación si el prompt está vacío en la interfaz de usuario.",
+    "Save style": "Guardar estilo",
+    "Apply selected styles to current prompt": "Aplicar estilos seleccionados al prompt",
+    "Stop processing current image and continue processing.": "Dejar de procesar la imagen actual y continuar procesando.",
+    "Stop processing images and return any results accumulated so far.": "Dejar de procesar imágenes y devuelva los resultados acumulados hasta el momento.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Estilo a aplicar; los estilos tienen componentes tanto para prompts positivos como negativos y se aplican a ambos",
+    "Do not do anything special": "No hacer nada especial",
+    "Which algorithm to use to produce the image": "Qué algoritmo usar para producir la imagen",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - muy creativo, cada uno puede obtener una imagen completamente diferente dependiendo del conteo de steps, configurar los steps a más de 30-40 no ayuda",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - funcionan mejor para inpainting",
+    "Produce an image that can be tiled.": "Produce una imagen que puede usarse como mosaico.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Usa un proceso de dos pasos para crear parcialmente una imagen con una resolución más pequeña, mejora la escala y luego mejora los detalles sin cambiar la composición",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determina qué tan poco respeto debe tener el algoritmo por el contenido de la imagen. En 0, nada cambiará y en 1 obtendrá una imagen no relacionada. Con valores por debajo de 1.0, el procesamiento tomará menos steps de los que especifica el slider de Sampling Steps.",
+    "How many batches of images to create": "Cuantos batches de imágenes para crear",
+    "How many image to create in a single batch": "Cuantas imágenes para crear en un solo batch",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - con qué fuerza debe ajustarse la imagen al prompt: los valores más bajos producen resultados más creativos",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Un valor que determina la salida del generador de números aleatorios: si creas una imagen con los mismos parámetros y el seed que otra imagen, obtendrás el mismo resultado",
+    "Set seed to -1, which will cause a new random number to be used every time": "Establece el seed a -1, lo que hará que se use un nuevo número aleatorio cada vez",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Reutilice el seed de la última generación, muy útil si fue aleatoria",
+    "Seed of a different picture to be mixed into the generation.": "Seed de una imagen diferente para ser mezclada en la generación.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Qué fuerte de una variación para producir. En 0, no habrá ningún efecto. En 1, obtendrá la imagen completa con variation seed (excepto para ancestral samplers, donde solo obtendrás algo).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Intenta producir una imagen similar a la que se habría producido con el mismo seed a la resolución especificada",
+    "Separate values for X axis using commas.": "Separar valores para X usando comas.",
+    "Separate values for Y axis using commas.": "Separar valores para Y usando comas.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Escribe la imagen en un directorio (predeterminado: log/images) y los parámetros de generación en el archivo csv.",
+    "Open images output directory": "Abrir directorio de imágenes",
+    "How much to blur the mask before processing, in pixels.": "Cuánto blur al mask antes de procesar, en píxeles.",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Qué poner dentro del área con mask antes de procesarlo con Stable Diffusion.",
+    "fill it with colors of the image": "rellenarlo con los colores de la imagen",
+    "keep whatever was there originally": "mantener lo que estaba allí originalmente",
+    "fill it with latent space noise": "rellenarlo con latent space noise",
+    "fill it with latent space zeroes": "rellenarlo con latent space zeroes",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Upscale la región con mask a la resolución objetivo, vuelve a pintar, reduce la escala hacia atrás y pégala en la imagen original",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Cambia el tamaño de la imagen a la resolución destino. A menos que la altura y el ancho coincidan, obtendrás una relación de aspecto incorrecta.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Cambia el tamaño de la imagen para que la totalidad de la resolución destino se llene con la imagen. Recorta las partes que sobresalen.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Cambia el tamaño de la imagen para que la totalidad de la imagen esté dentro de la resolución de destino. Rellena el espacio vacío con los colores de la imagen.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Cuántas veces repetir el procesamiento de una imagen y usarla como entrada para la próxima iteración",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "En modo loopback, en cada bucle, la fuerza de eliminación de ruido se multiplica por este valor. <1 significa variedad decreciente, por lo que su secuencia convergerá en una imagen fija. >1 significa aumentar la variedad, por lo que su secuencia se volverá cada vez más caótica.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Para SD upscale, cuánta superposición en píxeles debe haber entre mosaicos. Los mosaicos se superponen de modo que cuando se fusionan nuevamente en una imagen, no hay una unión claramente visible.",
+    "A directory on the same machine where the server is running.": "Un directorio en la misma máquina donde se ejecuta el servidor.",
+    "Leave blank to save images to the default path.": "Déjalo en blanco para guardar las imágenes en la ruta predeterminada.",
+    "Result = A * (1 - M) + B * M": "Resultado = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Resultado = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "Primer y último dígito debe ser 1. ej:'1, 2, 1'",
+    "Path to directory with input images": "Ruta al directorio con imágenes de entrada",
+    "Path to directory where to write outputs": "Ruta al directorio donde escribir salidas",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa las siguientes etiquetas para definir cómo se eligen los nombres de archivo para las imágenes: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; dejar vacío para utilizar predeterminados.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Si esta opción está habilitada, el watermark no se agregará a las imágenes creadas. Advertencia: si no agregas un watermark, es posible que te estés comportando de manera poco ética.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa las siguiente etiquetas para definir cómo los subdirectorios para imágenes y grids son seleccionados: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; dejar vacío para utilizar predeterminados.",
+    "Restore low quality faces using GFPGAN neural network": "Restaurar rostros de baja calidad utilizando GFPGAN neural network",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Esta expresión regular se usará para extraer palabras del nombre de archivo y se unirán usando la opción a continuación en el texto de la etiqueta que se usa para el entrenamiento. Dejar vacío para mantener el texto del nombre de archivo tal como está.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Esta cadena se usará para unir palabras divididas en una sola línea si la opción anterior está habilitada.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Lista de nombres de configuración, separados por comas, para configuraciones que deben ir a la barra de acceso rápido en la parte superior, en lugar de la pestaña de configuración habitual. Ver modules/shared.py para configurar los nombres. Requiere reiniciar para aplicar.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Si este valor no es cero, se agregará al seed y se usará para inicializar RNG para ruidos cuando se usan samplers con Eta. Puedes usar esto para producir aún más variaciones de imágenes, o puedes usar esto para hacer coincidir imágenes de otro software si sabes lo que estás haciendo."
+}
diff --git a/localizations/fr-FR.json b/localizations/fr-FR.json
new file mode 100644
index 00000000..b33d0838
--- /dev/null
+++ b/localizations/fr-FR.json
@@ -0,0 +1,415 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Chargement...",
+    "view": "vue",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "Construit avec Gradio",
+    "Stable Diffusion checkpoint": "checkpoint Stable Diffusion",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "Extras",
+    "PNG Info": "Infos PNG",
+    "History": "Historique",
+    "Checkpoint Merger": "Fusion de checkpoints",
+    "Train": "Entrainer",
+    "Settings": "Paramètres",
+    "Prompt": "Requête",
+    "Negative prompt": "Requête négative",
+    "Run": "Lancer",
+    "Skip": "Passer",
+    "Interrupt": "Interrrompre",
+    "Generate": "Générer",
+    "Style 1": "Style 1",
+    "Style 2": "Style 2",
+    "Label": "Etiquette",
+    "File": "Fichier",
+    "Drop File Here": "Déposer votre fichier ici",
+    "-": "-",
+    "or": "ou",
+    "Click to Upload": "Cliquer pour uploader",
+    "Image": "Image",
+    "Check progress": "Voir l'avancement",
+    "Check progress (first)": "Voir l'avancement (1er)",
+    "Sampling Steps": "Étapes d'échantillonnage",
+    "Sampling method": "Méthode d'échantillonnage",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Largeur",
+    "Height": "Hauteur",
+    "Restore faces": "Restaurer les visages",
+    "Tiling": "Mode Tuile",
+    "Highres. fix": "Correction haute résolution",
+    "Firstpass width": "Largeur première passe",
+    "Firstpass height": "Hauteur seconde passe",
+    "Denoising strength": "Puissance de réduction du bruit",
+    "Batch count": "Nombre de lots",
+    "Batch size": "Taille de lots",
+    "CFG Scale": "Echelle CFG",
+    "Seed": "Valeur aléatoire",
+    "Extra": "Extra",
+    "Variation seed": "Variation de la valeur aléatoire",
+    "Variation strength": "Puissance de variation",
+    "Resize seed from width": "Largeur de redimensionnement de la valeur aléatoire",
+    "Resize seed from height": "Hauteur de redimensionnement de la valeur aléatoire",
+    "Script": "Script",
+    "None": "Aucun",
+    "Prompt matrix": "Matrice de requète",
+    "Prompts from file or textbox": "Requètes depuis un fichier ou une boite de dialogue",
+    "X/Y plot": "graphe X/Y",
+    "Put variable parts at start of prompt": "Mettre les mots clés variable au début de la requête",
+    "Show Textbox": "Afficher le champs texte",
+    "File with inputs": "Fichier d'entrée",
+    "Prompts": "Requêtes",
+    "X type": "Paramètre axe X",
+    "Nothing": "Rien",
+    "Var. seed": "Valeur aléatoire variable",
+    "Var. strength": "Puissance variable",
+    "Steps": "Étapes",
+    "Prompt S/R": "Cherche et remplace dans la requête",
+    "Prompt order": "Ordre de la requête",
+    "Sampler": "Echantilloneur",
+    "Checkpoint name": "Nom du checkpoint",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Force de l'Hypernetwork",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "Sigma min.",
+    "Sigma max": "Sigma max.",
+    "Sigma noise": "Bruit Sigma",
+    "Eta": "Temps estimé",
+    "Clip skip": "Passer Clip",
+    "Denoising": "Réduction du bruit",
+    "X values": "Valeurs X",
+    "Y type": "Paramètre axe Y",
+    "Y values": "Valeurs Y",
+    "Draw legend": "Afficher la légende",
+    "Include Separate Images": "Inclure les images séparées",
+    "Keep -1 for seeds": "Conserver -1 pour la valeur aléatoire",
+    "Drop Image Here": "Déposer l'image ici",
+    "Save": "Enregistrer",
+    "Send to img2img": "Envoyer vers img2img",
+    "Send to inpaint": "Envoyer vers inpaint",
+    "Send to extras": "Envoyer vers extras",
+    "Make Zip when Save?": "Créer un zip lors de l'enregistrement?",
+    "Textbox": "Champ texte",
+    "Interrogate\nCLIP": "Interroger\nCLIP",
+    "Interrogate\nDeepBooru": "Interroger\nDeepBooru",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Lot img2img",
+    "Image for img2img": "Image pour img2img",
+    "Image for inpainting with mask": "Image pour inpainting avec masque",
+    "Mask": "Masque",
+    "Mask blur": "Flou masque",
+    "Mask mode": "Mode masque",
+    "Draw mask": "Dessiner masque",
+    "Upload mask": "Uploader masque",
+    "Masking mode": "Mode de masquage",
+    "Inpaint masked": "Inpaint masqué",
+    "Inpaint not masked": "Inpaint non masqué",
+    "Masked content": "Contenu masqué",
+    "fill": "remplir",
+    "original": "original",
+    "latent noise": "bruit latent",
+    "latent nothing": "latent vide",
+    "Inpaint at full resolution": "Inpaint en pleine résolution",
+    "Inpaint at full resolution padding, pixels": "Padding de l'inpaint en pleine résolution, en pixels",
+    "Process images in a directory on the same machine where the server is running.": "Traite les images dans un dossier sur la même machine où le serveur tourne",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Utiliser un dossier de sortie vide pour enregistrer les images normalement plutôt que d'écrire dans le dossier de sortie",
+    "Input directory": "Dossier d'entrée",
+    "Output directory": "Dossier de sortie",
+    "Resize mode": "Mode redimensionnement",
+    "Just resize": "Redimensionner uniquement",
+    "Crop and resize": "Recadrer et redimensionner",
+    "Resize and fill": "Redimensionner et remplir",
+    "img2img alternative test": "Test alternatif img2img",
+    "Loopback": "Bouclage",
+    "Outpainting mk2": "Outpainting v2",
+    "Poor man's outpainting": "Outpainting du pauvre",
+    "SD upscale": "Agrandissement SD",
+    "should be 2 or lower.": "doit être inférieur ou égal à 2",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Forcer `Méthode d'échantillonnage` à Euler ? (cette méthode est dédiée à cela)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Forcer la `requête` au contenu de la `requête d'origine` ? (de même pour la `requête négative`)",
+    "Original prompt": "Requête d'origine",
+    "Original negative prompt": "Requête négative d'origine",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Forcer le valeur d'`Étapes d'échantillonnage` à la même valeur qu'`Étapes de décodage` ?",
+    "Decode steps": "Étapes de décodage",
+    "Override `Denoising strength` to 1?": "Forcer `Puissance de réduction du bruit` à 1 ?",
+    "Decode CFG scale": "Echelle CFG de décodage",
+    "Randomness": "Aléatoire",
+    "Sigma adjustment for finding noise for image": "Ajustement Sigma lors de la recherche du bruit dans l'image",
+    "Loops": "Boucles",
+    "Denoising strength change factor": "Facteur de changement de la puissance de réduction du bruit",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Paramètres recommandés : Étapes d'échantillonnage : 80-100, Echantillonneur : Euler a, Puissance de réduction du bruit : 0.8",
+    "Pixels to expand": "Pixels à étendre",
+    "Outpainting direction": "Direction de l'outpainting",
+    "left": "gauche",
+    "right": "droite",
+    "up": "haut",
+    "down": "bas",
+    "Fall-off exponent (lower=higher detail)": "Exposant de diminution (plus petit = plus de détails)",
+    "Color variation": "Variation de couleur",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Agrandira l'image à deux fois sa taille; utilisez les glissières largeur et hauteur afin de choisir la taille de tuile",
+    "Tile overlap": "Chevauchement de tuile",
+    "Upscaler": "Agrandisseur",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "BSRGAN 4x": "BSRGAN 4x",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR 4x": "SwinIR 4x",
+    "Single Image": "Image unique",
+    "Batch Process": "Traitement par lot",
+    "Batch from Directory": "Lot depuis un dossier",
+    "Source": "Source",
+    "Show result images": "Montrez les images résultantes",
+    "Scale by": "Mise à l'échelle de",
+    "Scale to": "Mise à l'échelle à",
+    "Resize": "Redimensionner",
+    "Crop to fit": "Recadrer à la taille",
+    "Upscaler 2": "Agrandisseur 2",
+    "Upscaler 2 visibility": "Visibilité de l'agrandisseur 2",
+    "GFPGAN visibility": "Visibilité GFPGAN",
+    "CodeFormer visibility": "Visibilité CodeFormer",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Poids CodeFormer (0 = effet maximum, 1 = effet minimum)",
+    "Open output directory": "Ouvrir le dossier de sortie",
+    "Send to txt2img": "Envoyer vers txt2img",
+    "txt2img history": "historique txt2img",
+    "img2img history": "historique img2img",
+    "extras history": "historique extras",
+    "Renew Page": "Rafraichr la page",
+    "First Page": "Première page",
+    "Prev Page": "Page précendente",
+    "Page Index": "Index des pages",
+    "Next Page": "Page suivante",
+    "End Page": "Page de fin",
+    "number of images to delete consecutively next": "nombre d'image à supprimer consécutivement ensuite",
+    "Delete": "Supprimer",
+    "Generate Info": "Générer les informations",
+    "File Name": "Nom de fichier",
+    "set_index": "set_index",
+    "A merger of the two checkpoints will be generated in your": "Une fusion des deux checkpoints sera générée dans votre",
+    "checkpoint": "checkpoint",
+    "directory.": "dossier",
+    "Primary model (A)": "Modèle primaire (A)",
+    "Secondary model (B)": "Modèle secondaire (B)",
+    "Tertiary model (C)": "Modèle tertiaire (C)",
+    "Custom Name (Optional)": "Nom personnalisé (Optionel)",
+    "Multiplier (M) - set to 0 to get model A": "Multiplieur (M) - utiliser 0 pour le modèle A",
+    "Interpolation Method": "Méthode d'interpolation",
+    "Weighted sum": "Somme pondérée",
+    "Add difference": "Ajouter différence",
+    "Save as float16": "Enregistrer en tant que float16",
+    "See": "Voir",
+    "wiki": "wiki",
+    "for detailed explanation.": "pour une explication détaillée.",
+    "Create embedding": "Créer un embedding",
+    "Create hypernetwork": "Créer un hypernetwork",
+    "Preprocess images": "Pré-traite les images",
+    "Name": "Nom",
+    "Initialization text": "Texte d'initialisation",
+    "Number of vectors per token": "Nombre de vecteurs par jeton",
+    "Modules": "Modules",
+    "Source directory": "Dossier source",
+    "Destination directory": "Dossier destination",
+    "Create flipped copies": "Créer des copies en mirroir",
+    "Split oversized images into two": "Couper les images trop grandes en deux",
+    "Use BLIP for caption": "Utiliser BLIP pour les descriptions",
+    "Use deepbooru for caption": "Utiliser deepbooru pour les descriptions",
+    "Preprocess": "Pré-traite",
+    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Entrainer un embedding ; spécifiez un dossier contenant un ensemble d'images avec un ratio de 1:1",
+    "Embedding": "Embedding",
+    "Learning rate": "Vitesse d'apprentissage",
+    "Dataset directory": "Dossier des images d'entrée",
+    "Log directory": "Dossier de journalisation",
+    "Prompt template file": "Fichier modèle de requêtes",
+    "Max steps": "Étapes max.",
+    "Save an image to log directory every N steps, 0 to disable": "Enregistrer une image dans le dossier de journalisation toutes les N étapes, 0 pour désactiver",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Enregistrer une copie de l'embedding dans le dossier de journalisation toutes les N étapes, 0 pour désactiver",
+    "Save images with embedding in PNG chunks": "Sauvegarder les images incluant l'embedding dans leur blocs PNG",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Lire les paramètres (requête, etc.) depuis l'onglet txt2img lors de la génération des previews",
+    "Train Hypernetwork": "Entrainer un Hypernetwork",
+    "Train Embedding": "Entrainer un Embedding",
+    "Apply settings": "Appliquer les paramètres",
+    "Saving images/grids": "Enregistrer les images/grilles",
+    "Always save all generated images": "Toujours enregistrer toutes les images",
+    "File format for images": "Format de fichier pour les images",
+    "Images filename pattern": "Motif pour le nom de fichier des images",
+    "Always save all generated image grids": "Toujours enregistrer toutes les grilles d'images générées",
+    "File format for grids": "Format de fichier pour les grilles",
+    "Add extended info (seed, prompt) to filename when saving grid": "Ajouter les informations étendues (valeur aléatoire, requête) aux noms de fichiers lors de l'enregistrement d'une grille",
+    "Do not save grids consisting of one picture": "Ne pas enregistrer les grilles contenant une seule image",
+    "Prevent empty spots in grid (when set to autodetect)": "Eviter les vides dans la grille (quand autodétection est choisie)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Nombre de colonnes de la grille; utilisez -1 pour autodétection et 0 pour qu'il soit égal à la taille du lot",
+    "Save text information about generation parameters as chunks to png files": "Enregistrer l'information du text des paramètres de génération en tant que blocs dans les fichiers PNG",
+    "Create a text file next to every image with generation parameters.": "Créer un fichier texte contenant les paramètres de génération à côté de chaque image",
+    "Save a copy of image before doing face restoration.": "Enregistrer une copie de l'image avant de lancer la restauration de visage",
+    "Quality for saved jpeg images": "Qualité pour les images jpeg enregistrées",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Si l'image PNG est plus grande que 4MB or l'une des ses dimensions supérieure à 4000, réduire sa taille et enregistrer une copie en JPG",
+    "Use original name for output filename during batch process in extras tab": "Utiliser un nom de fichier original pour les fichiers de sortie durant le traitement par lot dans l'onglet Extras",
+    "When using 'Save' button, only save a single selected image": "A l'utilisation du bouton `Enregistrer`, n'enregistrer que l'image séléctionnée",
+    "Do not add watermark to images": "Ne pas ajouter de filigrane aux images",
+    "Paths for saving": "Chemins pour l'enregistrement",
+    "Output directory for images; if empty, defaults to three directories below": "Dossier de sortie pour les images; si non spécifié, le chemin par défaut sera trois niveau en dessous",
+    "Output directory for txt2img images": "Dossier de sortie pour les images txt2img",
+    "Output directory for img2img images": "Dossier de sortie pour les images img2img",
+    "Output directory for images from extras tab": "Dossier de sortie pour les images de l'onglet Extras",
+    "Output directory for grids; if empty, defaults to two directories below": "Dossier de sortie pour les grilles; si non spécifié, le chemin par défaut sera deux niveau en dessous",
+    "Output directory for txt2img grids": "Dossier de sortie pour les grilles txt2img",
+    "Output directory for img2img grids": "Dossier de sortie pour les grilles img2img",
+    "Directory for saving images using the Save button": "Dossier de sauvegarde des images pour le bouton `Enregistrer`",
+    "Saving to a directory": "Enregistrer dans un dossier",
+    "Save images to a subdirectory": "Enregistrer les images dans un sous dossier",
+    "Save grids to a subdirectory": "Enregistrer les grilles dans un sous dossier",
+    "When using \"Save\" button, save images to a subdirectory": "Lors de l'utilisation du bouton \"Enregistrer\", sauvegarder les images dans un sous dossier",
+    "Directory name pattern": "Motif pour le nom des dossiers",
+    "Max prompt words for [prompt_words] pattern": "Maximum de mot pour le motif [prompt_words]",
+    "Upscaling": "Agrandissement",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Taille des tuile for les agrandisseurs ESRGAN. 0 = mode tuile désactivé.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Chevauchement des tuiles, en pixel pour l'agrandisseur ESRGAN. Valeur faible = couture visible",
+    "Tile size for all SwinIR.": "Taille de la tuile pour tous les agrandisseur SwinIR.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Chevauchement de tuile, en pixels pour SwinIR. Valeur faible = couture visible",
+    "LDSR processing steps. Lower = faster": "Echantillon du traitement LDSR. Valeur faible =  plus rapide",
+    "Upscaler for img2img": "Agrandisseur pour img2img",
+    "Upscale latent space image when doing hires. fix": "Agrandir l'image de l'espace latent lors de la correction haute résolution",
+    "Face restoration": "Restauration de visage",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Paramètre de poids pour CodeFormer; 0 = effet maximum ； 1 = effet minimum",
+    "Move face restoration model from VRAM into RAM after processing": "Déplacer le modèle de restauration de visage de la VRAM vers la RAM après traitement",
+    "System": "Système",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Fréquence d'interrogation par seconde pendant la génération. Mettez la valeur à 0 pour désactiver.",
+    "Always print all generation info to standard output": "Toujours afficher toutes les informations de génération dans la sortie standard",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Ajouter un seconde barre de progression dans la console montrant l'avancement pour un tâche complète.",
+    "Training": "Entrainement",
+    "Unload VAE and CLIP from VRAM when training": "Décharger VAE et CLIP de la VRAM pendant l'entrainement",
+    "Filename word regex": "Regex de mot",
+    "Filename join string": "Chaine de caractère pour lier les noms de fichier",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Nombre de répétition pour une image unique par époque; utilisé seulement pour afficher le nombre d'époques",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Enregistrer un csv contenant la perte dans le dossier de journalisation toutes les N étapes, 0 pour désactiver",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "Checkpoint à mettre en cache dans la RAM",
+    "Hypernetwork strength": "Force de l'Hypernetwork",
+    "Apply color correction to img2img results to match original colors.": "Appliquer une correction de couleur aux résultats img2img afin de conserver les couleurs d'origine",
+    "Save a copy of image before applying color correction to img2img results": "Enregistrer une copie de l'image avant d'appliquer les résultats de la correction de couleur img2img",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Avec img2img, executer exactement le nombre d'étapes spécifiées par la glissière (normalement moins d'étapes sont executées quand la réduction du bruit est plus faible).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Activer la quantisation des échantillionneurs K pour des résultats plus nets et plus propres. Cela peut modifier les valeurs aléatoires existantes. Requiert un redémarrage pour être actif.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphase : utilisez (texte) afin de forcer le modèle à porter plus d'attention au texte et [texte] afin qu'il y porte moins attention",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Utilisez l'ancienne méthode d'emphase. Peut être utile afin de reproduire d'anciennes valeurs aléatoires.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Demander aux échantillionneurs K-diffusion de produire les mêmes dans un lot que lors de la génération d'une image unique",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Améliorer la cohérence en remplissant (padding) à partir de la dernière virgule dans les X jetons quand on en utilise plus de 75",
+    "Filter NSFW content": "Filtrer le contenu +18 (NSFW)",
+    "Stop At last layers of CLIP model": "S'arrêter aux derniers niveaux du modèle CLIP",
+    "Interrogate Options": "Options d'intérrogation",
+    "Interrogate: keep models in VRAM": "Interroger : conserver les modèles en VRAM",
+    "Interrogate: use artists from artists.csv": "Interroger : utiliser les artistes dans artists.csv",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interroger : inclure la correspondance du classement des labels de modèle dans les résultats (N'a pas d'effet sur les interrogateurs basés sur des descriptions) ",
+    "Interrogate: num_beams for BLIP": "Interroger : num_beams pour BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Interroger : longueur minimale de la description (excluant les artistes, etc.)",
+    "Interrogate: maximum description length": "Interroger : longueur maximale de la description",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP : nombre maximum de lignes dans le fichier texte (0 = pas de limite)",
+    "Interrogate: deepbooru score threshold": "Interroger : seuil du score deepbooru",
+    "Interrogate: deepbooru sort alphabetically": "Interroger : classement alphabétique deepbooru",
+    "use spaces for tags in deepbooru": "Utiliser des espaces pour les étiquettes dans deepbooru",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "échapper (\\) les crochets dans deepbooru (afin qu'ils puissent être utilisés littéralement et non pour mettre en emphase)",
+    "User interface": "Interface utilisateur",
+    "Show progressbar": "Afficher la barre de progression",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Afficher l'état d'avancement de la création d'image toutes les X étapes d'échantillionnage. Utiliser 0 pour désactiver.",
+    "Show grid in results for web": "Afficher la grille dans les résultats web",
+    "Do not show any images in results for web": "N'afficher aucune image dans les résultats web'",
+    "Add model hash to generation information": "Ajouter le hash du modèle dans l'information de génération",
+    "Add model name to generation information": "Ajouter le nom du modèle dans l'information de génération",
+    "Font for image grids that have text": "Police pour les grilles d'images contenant du texte",
+    "Enable full page image viewer": "Activer l'affichage des images en plein écran",
+    "Show images zoomed in by default in full page image viewer": "Afficher les images zoomées par défaut lors de l'affichage en plein écran",
+    "Show generation progress in window title.": "Afficher l'avancement de la génération dans le titre de la fenêtre.",
+    "Quicksettings list": "Liste de réglages rapides",
+    "Localization (requires restart)": "Localisation (requiert un redémarrage)",
+    "Sampler parameters": "Paramètres de l'échantillionneur",
+    "Hide samplers in user interface (requires restart)": "Cacher les échantillonneurs dans l'interface utilisateur (requiert un redémarrage)",
+    "eta (noise multiplier) for DDIM": "eta (multiplicateur de bruit) pour DDIM",
+    "eta (noise multiplier) for ancestral samplers": "eta (multiplicateur de bruit) poru les échantillionneurs de type 'ancestral'",
+    "img2img DDIM discretize": "Discrétisation DDIM pour img2img",
+    "uniform": "uniforme",
+    "quad": "quad",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma noise",
+    "Eta noise seed delta": "Eta noise seed delta",
+    "Request browser notifications": "Demander les notifications au navigateur",
+    "Download localization template": "Télécharger le modèle de localisation",
+    "Reload custom script bodies (No ui updates, No restart)": "Recharger le contenu des scripts personnalisés (Pas de mise à jour de l'interface, Pas de redémarrage)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Redémarrer Gradio et rafraichir les composants (Scripts personnalisés, ui.py, js et css uniquement)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Requête (Ctrl + Entrée ou Alt + Entrée pour générer)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Requête négative (Ctrl + Entrée ou Alt + Entrée pour générer)",
+    "Add a random artist to the prompt.": "Ajouter un artiste aléatoire à la requête",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Lire les paramètres de génération depuis la requête, ou depuis la dernière génération si la requête est vide dans l'interface utilisateur.",
+    "Save style": "Sauvegarder le style",
+    "Apply selected styles to current prompt": "Appliquer les styles séléctionnés à la requête actuelle",
+    "Stop processing current image and continue processing.": "Arrêter le traitement de l'image actuelle et continuer le traitement.",
+    "Stop processing images and return any results accumulated so far.": "Arrêter le traitement des images et retourne les résultats accumulés depuis le début.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style à appliquer ; les styles sont composés de requêtes positives et négatives et s'appliquent au deux",
+    "Do not do anything special": "Ne rien faire de particulier",
+    "Which algorithm to use to produce the image": "Quel algorithme utiliser pour produire l'image",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - très créatif, peut générer des images complètement différentes en fonction du nombre d'étapes, utiliser plus de 30 à 40 étapes n'améliore pas le résultat",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Modèles implicite de réduction du bruit à diffusion - utile pour l'inpainting",
+    "Produce an image that can be tiled.": "Produit une image qui peut être bouclée (tuile).",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Utilise un processus en deux étapes afin de créer partiellement une image dans une résolution plus faible, l'agrandir et améliorer ses détails sans modifier la composition",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Détermine à quel point l'algorithme doit respecter le contenu de l'image. A 0 rien ne changera, à 1 l'image sera entièrement différente. Avec des valeurs inférieures à 1.0 le traitement utilisera moins d'étapes que ce que la glissière Étapes d'échantillionnage spécifie. ",
+    "How many batches of images to create": "Combien de lots d'images créer",
+    "How many image to create in a single batch": "Combien d'images créer par lot",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - spécifie à quel point l'image doit se conformer à la requête - des valeurs plus faibles produisent des résultats plus créatifs",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Une valeur qui détermine la sortie du générateur de nombres aléatoires - si vous créez une image avec les mêmes paramètres et valeur aléatoire qu'une autre, le résultat sera identique",
+    "Set seed to -1, which will cause a new random number to be used every time": "Passer la valeur aléatoire à -1, cela causera qu'un nombre aléatoire différent sera utilisé à chaque fois",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Réutiliser la valeur aléatoire de la dernière génération, généralement utile uniquement si elle était randomisée",
+    "Seed of a different picture to be mixed into the generation.": "Valeur aléatoire d'une image différente à mélanger dans la génération",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Force de la variation à produire. A 0 il n'y aura pas d'effet. A 1 l'image sera composée uniquement de la valeur aléatoire variable spécifiée (à l'exception des échantillionneurs `ancestral`)",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Essayer de produire une image similaire à ce qu'elle aurait été avec la même valeur aléatoire, mais dans la résolution spécifiée",
+    "Separate values for X axis using commas.": "Séparer les valeurs pour l'axe X par des virgules",
+    "Separate values for Y axis using commas.": "Séparer les valeurs pour l'axe Y par des virgules",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Ecrire l'image dans un dossier (par défaut - log/images) et les paramètres de génération dans un fichier csv.",
+    "Open images output directory": "Ouvrir le dossier de sortie des images",
+    "How much to blur the mask before processing, in pixels.": "Quantité de flou à appliquer au masque avant traitement, en pixels",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Avec quoi remplir la zone masquée avant traitement par Stable Diffusion.",
+    "fill it with colors of the image": "remplir avec les couleurs de l'image",
+    "keep whatever was there originally": "conserver ce qui était présent à l'origine",
+    "fill it with latent space noise": "remplir avec le bruit de l'espace latent",
+    "fill it with latent space zeroes": "remplir avec des zéros dans l'espace latent",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Agrandir la région masquées à la résolution cible, exécuter l'inpainting, réduire à nouveau puis coller dans l'image originale",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Redimensionner l'image dans la résolution cible. A moins que la hauteur et la largeur coincident le ratio de l'image sera incorrect.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Redimensionner l'image afin que l'entièreté de la résolution cible soit remplie par l'image. Recadrer les parties qui dépassent.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Redimensionner l'image afin que l'entièreté de l'image soit contenue dans la résolution cible. Remplir l'espace vide avec les couleurs de l'image.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Combien de fois répéter le traitement d'une image et l'utiliser comme entrée pour la prochaine itération",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "En mode bouclage (Loopback), à chaque tour de la boucle la force du réducteur de bruit est multipliée par cette valeur. <1 signifie réduire la variation donc votre séquence convergera vers une image fixe. >1 signifie augmenter la variation donc votre séquence deviendra de plus en plus chaotique. ",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Pour l'agrandissement SD, de combien les tuiles doivent se chevaucher, en pixels. Les tuiles se chevauchent de manière à ce qu'il n'y ait pas de couture visible une fois fusionnées en une image. ",
+    "A directory on the same machine where the server is running.": "Un dossier sur la même machine où le serveur tourne.",
+    "Leave blank to save images to the default path.": "Laisser vide pour sauvegarder les images dans le chemin par défaut.",
+    "Result = A * (1 - M) + B * M": "Résultat = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Résultat = A + (B - C) * M",
+    "Path to directory with input images": "Chemin vers le dossier contenant les images d'entrée",
+    "Path to directory where to write outputs": "Chemin vers le dossier où écrire les sorties",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Utiliser les étiquettes suivantes pour définir le nom des images : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ; laisser vide pour le nom par défaut.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Si cette option est activée le filigrane ne sera pas ajouté au images crées. Attention : si vous n'ajoutez pas de filigrane vous pourriez vous comporter de manière non éthique.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Utiliser les étiquettes suivantes pour définir le nom des sous dossiers pour les images et les grilles  : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ; laisser vide pour le nom par défaut.",
+    "Restore low quality faces using GFPGAN neural network": "Restaurer les visages de basse qualité en utilisant le réseau neuronal GFPGAN",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Cette expression régulière sera utilisée pour extraire les mots depuis le nom de fichier ; ils seront joints en utilisant l'option ci dessous en une étiquette utilisée pour l'entrainement. Laisser vide pour conserver le texte du nom de fichier tel quel.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Cette chaine de caractères sera utilisée pour joindre les mots séparés en une ligne unique si l'option ci dessus est activée.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Liste des noms de paramètres, séparés par des virgules, pour les paramètres de la barre d'accès rapide en haut de page, plutôt que dans la page habituelle des paramètres. Voir modules/shared.py pour définir les noms. Requiert un redémarrage pour s'appliquer.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Si cette valeur est différente de zéro elle sera ajoutée à la valeur aléatoire et utilisée pour initialiser le générateur de nombres aléatoires du bruit lors de l'utilisation des échantillonneurs supportants Eta. Vous pouvez l'utiliser pour produire encore plus de variation dans les images, ou vous pouvez utiliser ceci pour faire correspondre les images avec d'autres logiciels si vous savez ce que vous faites.",
+    "Enable Autocomplete": "Activer l'autocomplétion",
+    "/0.0": "/0.0"
+}
\ No newline at end of file
diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index ab12c37e..ff70f1ea 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -21,6 +21,7 @@
   "Add layer normalization": "레이어 정규화(normalization) 추가",
   "Add model hash to generation information": "생성 정보에 모델 해시 추가",
   "Add model name to generation information": "생성 정보에 모델 이름 추가",
+  "Add number to filename when saving": "이미지를 저장할 때 파일명에 숫자 추가하기",
   "Aesthetic imgs embedding": "스타일 이미지 임베딩",
   "Aesthetic learning rate": "스타일 학습 수",
   "Aesthetic steps": "스타일 스텝 수",
@@ -35,6 +36,7 @@
   "Apply color correction to img2img results to match original colors.": "이미지→이미지 결과물이 기존 색상과 일치하도록 색상 보정 적용하기",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
   "Apply settings": "설정 적용하기",
+  "Auto focal point crop": "초점 기준 크롭(자동 감지)",
   "Batch count": "배치 수",
   "Batch from Directory": "저장 경로로부터 여러장 처리",
   "Batch img2img": "이미지→이미지 배치",
@@ -66,12 +68,14 @@
   "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
   "Create a text file next to every image with generation parameters.": "생성된 이미지마다 생성 설정값을 담은 텍스트 파일 생성하기",
   "Create aesthetic images embedding": "스타일 이미지 임베딩 생성하기",
+  "Create debug image": "디버그 이미지 생성",
   "Create embedding": "임베딩 생성",
   "Create flipped copies": "좌우로 뒤집은 복사본 생성",
   "Create hypernetwork": "하이퍼네트워크 생성",
   "Create images embedding": "이미지 임베딩 생성하기",
   "Crop and resize": "잘라낸 후 리사이징",
   "Crop to fit": "잘라내서 맞추기",
+  "custom fold": "커스텀 경로",
   "Custom Name (Optional)": "병합 모델 이름 (선택사항)",
   "Dataset directory": "데이터셋 경로",
   "DDIM": "DDIM",
@@ -107,6 +111,7 @@
   "Embedding": "임베딩",
   "Embedding Learning rate": "임베딩 학습률",
   "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "강조 : (텍스트)를 이용해 모델의 텍스트에 대한 가중치를 더 강하게 주고 [텍스트]를 이용해 더 약하게 줍니다.",
+  "Enable Autocomplete": "태그 자동완성 사용",
   "Enable full page image viewer": "전체 페이지 이미지 뷰어 활성화",
   "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "더 예리하고 깔끔한 결과물을 위해 K 샘플러들에 양자화를 적용합니다. 존재하는 시드가 변경될 수 있습니다. 재시작이 필요합니다.",
   "End Page": "마지막 페이지",
@@ -145,6 +150,9 @@
   "First Page": "처음 페이지",
   "Firstpass height": "초기 세로길이",
   "Firstpass width": "초기 가로길이",
+  "Focal point edges weight": "경계면 가중치",
+  "Focal point entropy weight": "엔트로피 가중치",
+  "Focal point face weight": "얼굴 가중치",
   "Font for image grids that have text": "텍스트가 존재하는 그리드 이미지의 폰트",
   "for detailed explanation.": "를 참조하십시오.",
   "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD 업스케일링에서 타일 간 몇 픽셀을 겹치게 할지 결정하는 설정값입니다. 타일들이 다시 한 이미지로 합쳐질 때, 눈에 띄는 이음매가 없도록 서로 겹치게 됩니다.",
@@ -195,6 +203,7 @@
   "Inpaint masked": "마스크만 처리",
   "Inpaint not masked": "마스크 이외만 처리",
   "Input directory": "인풋 이미지 경로",
+  "Input images directory": "이미지 경로 입력",
   "Interpolation Method": "보간 방법",
   "Interrogate\nCLIP": "CLIP\n분석",
   "Interrogate\nDeepBooru": "DeepBooru\n분석",
@@ -258,10 +267,12 @@
   "None": "없음",
   "Nothing": "없음",
   "Nothing found in the image.": "Nothing found in the image.",
+  "Number of columns on the page": "각 페이지마다 표시할 가로줄 수",
   "Number of grids in each row": "각 세로줄마다 표시될 그리드 수",
   "number of images to delete consecutively next": "연속적으로 삭제할 이미지 수",
   "Number of pictures displayed on each page": "각 페이지에 표시될 이미지 수",
   "Number of repeats for a single input image per epoch; used only for displaying epoch number": "세대(Epoch)당 단일 인풋 이미지의 반복 횟수 - 세대(Epoch) 숫자를 표시하는 데에만 사용됩니다. ",
+  "Number of rows on the page": "각 페이지마다 표시할 세로줄 수",
   "Number of vectors per token": "토큰별 벡터 수",
   "Open for Clip Aesthetic!": "클립 스타일 기능을 활성화하려면 클릭!",
   "Open images output directory": "이미지 저장 경로 열기",
@@ -375,6 +386,7 @@
   "Seed": "시드",
   "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
   "Select activation function of hypernetwork": "하이퍼네트워크 활성화 함수 선택",
+  "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "레이어 가중치 초기화 방식 선택 - relu류 : Kaiming 추천, sigmoid류 : Xavier 추천",
   "Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "WebUI에 표시할 Real-ESRGAN 모델을 선택하십시오. (재시작 필요)",
   "Send to extras": "부가기능으로 전송",
   "Send to img2img": "이미지→이미지로 전송",
@@ -465,10 +477,11 @@
   "Use BLIP for caption": "캡션에 BLIP 사용",
   "Use deepbooru for caption": "캡션에 deepbooru 사용",
   "Use dropout": "드롭아웃 사용",
-  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지 파일명 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
-  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지와 그리드의 하위 디렉토리명의 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지 파일명 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지와 그리드의 하위 디렉토리명의 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
   "Use old emphasis implementation. Can be useful to reproduce old seeds.": "옛 방식의 강조 구현을 사용합니다. 옛 시드를 재현하는 데 효과적일 수 있습니다.",
   "Use original name for output filename during batch process in extras tab": "부가기능 탭에서 이미지를 여러장 처리 시 결과물 파일명에 기존 파일명 사용하기",
+  "Use same seed for each image": "각 이미지에 동일한 시드 사용",
   "use spaces for tags in deepbooru": "deepbooru에서 태그에 공백 사용",
   "User interface": "사용자 인터페이스",
   "Var. seed": "바리에이션 시드",
@@ -485,6 +498,7 @@
   "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
   "Width": "가로",
   "wiki": " 위키",
+  "Wildcards": "와일드카드",
   "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "이미지를 설정된 사이즈의 2배로 업스케일합니다. 상단의 가로와 세로 슬라이더를 이용해 타일 사이즈를 지정하세요.",
   "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "이미지→이미지 진행 시, 슬라이더로 설정한 스텝 수를 정확히 실행하기 (일반적으로 디노이즈 강도가 낮을수록 실제 설정된 스텝 수보다 적게 진행됨)",
   "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
diff --git a/localizations/tr_TR.json b/localizations/tr_TR.json
new file mode 100644
index 00000000..74cdf056
--- /dev/null
+++ b/localizations/tr_TR.json
@@ -0,0 +1,423 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Yükleniyor...",
+    "view": "arayüz",
+    "api": "",
+    "•": "-",
+    "built with gradio": "gradio ile inşa edildi",
+    "Stable Diffusion checkpoint": "Kararlı Difüzyon kontrol noktası",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "Ekstralar",
+    "PNG Info": "PNG Bilgisi",
+    "Checkpoint Merger": "Checkpoint Birleştir",
+    "Train": "Eğitim",
+    "Settings": "Ayarlar",
+    "Prompt": "İstem",
+    "Negative prompt": "Negatif istem",
+    "Run": "Koşmak",
+    "Skip": "Atla",
+    "Interrupt": "Durdur",
+    "Generate": "Oluştur",
+    "Style 1": "Stil 1",
+    "Style 2": "Stil 2",
+    "Label": "Etiket",
+    "File": "Dosya",
+    "Drop File Here": "Dosyayı Buraya Bırakın",
+    "-": "-",
+    "or": "veya",
+    "Click to Upload": "Yüklemek için Tıklayınız",
+    "Image": "Resim",
+    "Check progress": "İlerlemeyi kontrol edin",
+    "Check progress (first)": "Önce ilerlemeyi kontrol edin",
+    "Sampling Steps": "Örnekleme Adımları",
+    "Sampling method": "Örnekleme yöntemi",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM hızlı",
+    "DPM adaptive": "DPM uyarlanabilir",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Genişlik",
+    "Height": "Yükseklik",
+    "Restore faces": "Yüzleri düzeltme",
+    "Tiling": "Döşeme Oluştur",
+    "Highres. fix": "Highres. düzeltme",
+    "Firstpass width": "İlk geçiş genişliği",
+    "Firstpass height": "İlk geçiş yüksekliği",
+    "Denoising strength": "Gürültü arındırma gücü",
+    "Batch count": "Grup sayısı",
+    "Batch size": "Grup büyüklüğü",
+    "CFG Scale": "CFG Ölçeği",
+    "Seed": "Tohum",
+    "Extra": "Ekstra",
+    "Variation seed": "Varyasyon tohumu",
+    "Variation strength": "Varyasyon gücü",
+    "Resize seed from width": "Tohumu genişlik ile yeniden boyutlandırma",
+    "Resize seed from height": "Tohumu yükseklik ile yeniden boyutlandırma",
+    "Script": "Scriptler",
+    "None": "Hiçbiri",
+    "Prompt matrix": "İstem matrisi",
+    "Prompts from file or textbox": "Dosyadan veya metin kutusundan istemler",
+    "X/Y plot": "X/Y grafiği",
+    "Put variable parts at start of prompt": "Değişken parçaları komut isteminin başına koyun",
+    "Show Textbox": "Metin Kutusunu Göster",
+    "File with inputs": "Girdileri içeren dosya",
+    "Prompts": "İpuçları",
+    "X type": "X tipi",
+    "Nothing": "Hiçbir şey",
+    "Var. seed": "Var. tohum",
+    "Var. strength": "Var. güç",
+    "Steps": "Adımlar",
+    "Prompt S/R": "İstem S/R",
+    "Prompt order": "İstem sırası",
+    "Sampler": "Örnekleyici",
+    "Checkpoint name": "Kontrol noktası adı",
+    "Hypernetwork": "Hipernetwork",
+    "Hypernet str.": "Hypernet str.",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "Sigma dakika",
+    "Sigma max": "Sigma maksimum",
+    "Sigma noise": "Sigma gürültüsü",
+    "Eta": "Eta",
+    "Clip skip": "Klip atlama",
+    "Denoising": "Denoising",
+    "X values": "X değerleri",
+    "Y type": "Y tipi",
+    "Y values": "Y değerleri",
+    "Draw legend": "Gösterge çizin",
+    "Include Separate Images": "Ayrı Görseller Ekleyin",
+    "Keep -1 for seeds": "Tohumlar için -1'i saklayın",
+    "Drop Image Here": "Resmi Buraya Bırakın",
+    "Save": "Kaydet",
+    "Send to img2img": "img2img'ye gönder",
+    "Send to inpaint": "Inpaint'e gönder",
+    "Send to extras": "Ekstralara gönder",
+    "Make Zip when Save?": "Kaydederken Zip Yap?",
+    "Textbox": "Metin Kutusu",
+    "Interrogate\nCLIP": "Sorgula\nCLIP",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Toplu img2img",
+    "Image for img2img": "img2img için resim",
+    "Image for inpainting with mask": "Maske ile inpainting için görüntü",
+    "Mask": "Maske",
+    "Mask blur": "Maske bulanıklığı",
+    "Mask mode": "Maske modu",
+    "Draw mask": "Maske çizin",
+    "Upload mask": "Maske yükle",
+    "Masking mode": "Maskeleme modu",
+    "Inpaint masked": "Maskeli inpaint",
+    "Inpaint not masked": "Boya maskelenmemiş",
+    "Masked content": "Maskelenmiş içerik",
+    "fill": "doldurun",
+    "original": "orijinal",
+    "latent noise": "gizli gürültü",
+    "latent nothing": "gizli hiçbir şey",
+    "Inpaint at full resolution": "Tam çözünürlükte inpaint",
+    "Inpaint at full resolution padding, pixels": "Tam çözünürlükte inpaint dolgu, piksel",
+    "Process images in a directory on the same machine where the server is running.": "Görüntüleri sunucunun çalıştığı makinedeki bir dizinde işleyin.",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Resimleri çıktı dizinine yazmak yerine normal şekilde kaydetmek için boş bir çıktı dizini kullanın.",
+    "Input directory": "Girdi dizini",
+    "Output directory": "Çıktı dizini",
+    "Resize mode": "Yeniden boyutlandırma modu",
+    "Just resize": "Sadece yeniden boyutlandır",
+    "Crop and resize": "Kırpma ve yeniden boyutlandırma",
+    "Resize and fill": "Yeniden boyutlandırın ve doldurun",
+    "img2img alternative test": "img2img alternatif test",
+    "Loopback": "Geri Döngü",
+    "Outpainting mk2": "Outpainting mk2",
+    "Poor man's outpainting": "Zavallı adamın dış boyaması",
+    "SD upscale": "SD lüks",
+    "should be 2 or lower.": "2 veya daha düşük olmalıdır.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Euler için `Örnekleme yöntemini` geçersiz kılın (bu yöntem bunun için oluşturulmuştur)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Prompt` değerini `orijinal prompt` ile aynı değere geçersiz kılma (ve `negatif prompt`)",
+    "Original prompt": "Orijinal bilgi istemi",
+    "Original negative prompt": "Orijinal negatif istem",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Örnekleme Adımlarını `Kod çözme adımları` ile aynı değere mi geçersiz kılıyorsunuz?",
+    "Decode steps": "Kod çözme adımları",
+    "Override `Denoising strength` to 1?": "`Denoising strength` değerini 1 olarak geçersiz kıl?",
+    "Decode CFG scale": "CFG ölçeğinin kodunu çöz",
+    "Randomness": "Rastgelelik",
+    "Sigma adjustment for finding noise for image": "Görüntü için gürültü bulmaya yönelik Sigma ayarı",
+    "Loops": "Döngüler",
+    "Denoising strength change factor": "Denoising gücü değişim faktörü",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Önerilen ayarlar: Örnekleme Adımları: 80-100, Örnekleyici: Euler a, Denoising gücü: 0.8",
+    "Pixels to expand": "Genişletilecek pikseller",
+    "Outpainting direction": "Dış boyama yönü",
+    "left": "sol",
+    "right": "doğru",
+    "up": "yukarı",
+    "down": "aşağı",
+    "Fall-off exponent (lower=higher detail)": "Düşme üssü (düşük=daha yüksek detay)",
+    "Color variation": "Renk çeşitliliği",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Görüntüyü boyutlarının iki katına yükseltir; döşeme boyutunu ayarlamak için genişlik ve yükseklik kaydırıcılarını kullanın",
+    "Tile overlap": "Karo örtüşmesi",
+    "Upscaler": "Upscaler",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "SwinIR 4x": "SwinIR 4x",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "Single Image": "Tek Resim",
+    "Batch Process": "Toplu İşlem",
+    "Batch from Directory": "Dizinden Toplu İş",
+    "Source": "Kaynak",
+    "Show result images": "Sonuç resimlerini göster",
+    "Scale by": "Ölçek tarafından",
+    "Scale to": "Ölçeklendir",
+    "Resize": "Yeniden Boyutlandır",
+    "Crop to fit": "Sığdırmak için kırpın",
+    "Upscaler 2 visibility": "Upscaler 2 görünürlüğü",
+    "GFPGAN visibility": "GFPGAN görünürlüğü",
+    "CodeFormer visibility": "CodeFormer görünürlüğü",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer ağırlığı (0 = maksimum etki, 1 = minimum etki)",
+    "Open output directory": "Çıktı dizinini aç",
+    "Send to txt2img": "txt2img'ye gönder",
+    "A merger of the two checkpoints will be generated in your": "İki kontrol noktasının bir birleşimi sizin kontrol noktanızda oluşturulacaktır.",
+    "checkpoint": "kontrol noktası",
+    "directory.": "dizin.",
+    "Primary model (A)": "Birincil model (A)",
+    "Secondary model (B)": "İkincil model (B)",
+    "Tertiary model (C)": "Üçüncü model (C)",
+    "Custom Name (Optional)": "Özel Ad (İsteğe Bağlı)",
+    "Multiplier (M) - set to 0 to get model A": "Çarpan (M) - A modelini elde etmek için 0'a ayarlayın",
+    "Interpolation Method": "İnterpolasyon Yöntemi",
+    "Weighted sum": "Ağırlıklı toplam",
+    "Add difference": "Farklılık ekleyin",
+    "Save as float16": "float16 olarak kaydet",
+    "See": "Bkz. ",
+    "wiki": "wiki",
+    "for detailed explanation.": " ayrıntılı açıklama için.",
+    "Create embedding": "Yerleştirme oluşturma",
+    "Create hypernetwork": "Hipernet oluşturun",
+    "Preprocess images": "Görüntüleri ön işleme",
+    "Name": "İsim",
+    "Initialization text": "Başlatma metni",
+    "Number of vectors per token": "Belirteç başına vektör sayısı",
+    "Overwrite Old Embedding": "Eski Yerleştirmenin Üzerine Yaz",
+    "Modules": "Modüller",
+    "Enter hypernetwork layer structure": "Hipernetwork katman yapısına girin",
+    "Select activation function of hypernetwork": "Hipernetwork'ün aktivasyon fonksiyonunu seçin",
+    "linear": "doğrusal",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "Add layer normalization": "Katman normalizasyonu ekleyin",
+    "Use dropout": "Bırakmayı kullanın",
+    "Overwrite Old Hypernetwork": "Eski Hipernetwork'ün Üzerine Yazma",
+    "Source directory": "Kaynak dizini",
+    "Destination directory": "Hedef dizini",
+    "Existing Caption txt Action": "Mevcut Başlık txt Eylem",
+    "ignore": "görmezden gel",
+    "copy": "kopya",
+    "prepend": "prepend",
+    "append": "ekle",
+    "Create flipped copies": "Ters çevrilmiş kopyalar oluşturun",
+    "Split oversized images": "Büyük boyutlu görüntüleri bölme",
+    "Use BLIP for caption": "Başlık için BLIP kullanın",
+    "Use deepbooru for caption": "Başlık için deepbooru kullanın",
+    "Split image threshold": "Bölünmüş görüntü eşiği",
+    "Split image overlap ratio": "Bölünmüş görüntü örtüşme oranı",
+    "Preprocess": "Ön işlem",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Bir gömme veya Hipernetwork eğitin; 1:1 oranlı görüntülerin bulunduğu bir dizin belirtmelisiniz",
+    "[wiki]": "[wiki]",
+    "Embedding": "Yerleştirme",
+    "Embedding Learning rate": "Gömme Öğrenme oranı",
+    "Hypernetwork Learning rate": "Hypernetwork Öğrenme oranı",
+    "Dataset directory": "Veri seti dizini",
+    "Log directory": "Günlük dizini",
+    "Prompt template file": "Komut istemi şablon dosyası",
+    "Max steps": "Maksimum adım",
+    "Save an image to log directory every N steps, 0 to disable": "Her N adımda bir görüntüyü günlük dizinine kaydet, 0 devre dışı bırakmak için",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Katıştırmanın bir kopyasını her N adımda bir günlük dizinine kaydedin, devre dışı bırakmak için 0",
+    "Save images with embedding in PNG chunks": "Görüntüleri PNG parçalarına yerleştirerek kaydedin",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Önizleme yaparken txt2img sekmesinden parametreleri (istem, vb...) okuma",
+    "Train Hypernetwork": "Tren Hipernetwork",
+    "Train Embedding": "Tren Gömme",
+    "Apply settings": "Ayarları uygula",
+    "Saving images/grids": "Görüntüleri/gridleri kaydetme",
+    "Always save all generated images": "Oluşturulan tüm görüntüleri her zaman kaydedin",
+    "File format for images": "Görüntüler için dosya formatı",
+    "Images filename pattern": "Görüntü dosya adı deseni",
+    "Add number to filename when saving": "Kaydederken dosya adına numara ekle",
+    "Always save all generated image grids": "Oluşturulan tüm görüntü ızgaralarını her zaman kaydedin",
+    "File format for grids": "Izgaralar için dosya formatı",
+    "Add extended info (seed, prompt) to filename when saving grid": "Izgarayı kaydederken dosya adına genişletilmiş bilgi (tohum, istem) ekleyin",
+    "Do not save grids consisting of one picture": "Tek resimden oluşan ızgaraları kaydetmeyin",
+    "Prevent empty spots in grid (when set to autodetect)": "Izgaradaki boş noktaları önleme (otomatik algılamaya ayarlandığında)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Izgara satır sayısı; otomatik algılama için -1, yığın boyutuyla aynı olması için 0 kullanın",
+    "Save text information about generation parameters as chunks to png files": "Üretim parametreleri hakkındaki metin bilgilerini png dosyalarına parçalar halinde kaydedin",
+    "Create a text file next to every image with generation parameters.": "Oluşturma parametreleri ile her görüntünün yanında bir metin dosyası oluşturun.",
+    "Save a copy of image before doing face restoration.": "Yüz restorasyonu yapmadan önce görüntünün bir kopyasını kaydedin.",
+    "Quality for saved jpeg images": "Kaydedilen jpeg görüntüleri için kalite",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "PNG görüntüsü 4MB'den büyükse veya herhangi bir boyut 4000'den büyükse, ölçeği küçültün ve kopyayı JPG olarak kaydedin",
+    "Use original name for output filename during batch process in extras tab": "Ekstralar sekmesinde toplu işlem sırasında çıktı dosya adı için orijinal adı kullan",
+    "When using 'Save' button, only save a single selected image": "'Kaydet' düğmesini kullanırken, yalnızca seçilen tek bir resmi kaydedin",
+    "Do not add watermark to images": "Görüntülere filigran eklemeyin",
+    "Paths for saving": "Tasarruf için yollar",
+    "Output directory for images; if empty, defaults to three directories below": "Görüntüler için çıktı dizini; boşsa, varsayılan olarak aşağıdaki üç dizine gider",
+    "Output directory for txt2img images": "txt2img görüntüleri için çıktı dizini",
+    "Output directory for img2img images": "img2img görüntüleri için çıktı dizini",
+    "Output directory for images from extras tab": "Ekstralar sekmesindeki görüntüler için çıktı dizini",
+    "Output directory for grids; if empty, defaults to two directories below": "Izgaralar için çıktı dizini; boşsa, varsayılan olarak aşağıdaki iki dizine gider",
+    "Output directory for txt2img grids": "txt2img ızgaraları için çıktı dizini",
+    "Output directory for img2img grids": "img2img ızgaraları için çıktı dizini",
+    "Directory for saving images using the Save button": "Kaydet düğmesini kullanarak görüntüleri kaydetmek için dizin",
+    "Saving to a directory": "Bir dizine kaydetme",
+    "Save images to a subdirectory": "Görüntüleri bir alt dizine kaydetme",
+    "Save grids to a subdirectory": "Izgaraları bir alt dizine kaydetme",
+    "When using \"Save\" button, save images to a subdirectory": "\"Kaydet\" düğmesini kullanırken, görüntüleri bir alt dizine kaydedin",
+    "Directory name pattern": "Dizin adı kalıbı",
+    "Max prompt words for [prompt_words] pattern": "prompt_words] kalıbı için maksimum istem sözcükleri",
+    "Upscaling": "Yükseltme",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN yükselticileri için döşeme boyutu. 0 = döşeme yok.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN yükselticileri için piksel cinsinden döşeme örtüşmesi. Düşük değerler = görünür bağlantı hattı.",
+    "Tile size for all SwinIR.": "Tüm SwinIR için döşeme boyutu.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR için piksel cinsinden döşeme örtüşmesi. Düşük değerler = görünür dikiş.",
+    "LDSR processing steps. Lower = faster": "LDSR işleme adımları. Düşük = daha hızlı",
+    "Upscaler for img2img": "img2img için üst ölçekleyici",
+    "Upscale latent space image when doing hires. fix": "İşe alım yaparken gizli alan görüntüsünü yükselt. düzelt",
+    "Face restoration": "Yüz restorasyonu",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer ağırlık parametresi; 0 = maksimum etki; 1 = minimum etki",
+    "Move face restoration model from VRAM into RAM after processing": "İşlemden sonra yüz restorasyon modelini VRAM'den RAM'e taşıma",
+    "System": "Sistem",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Üretim sırasında saniye başına VRAM kullanım yoklamaları. Devre dışı bırakmak için 0 olarak ayarlayın.",
+    "Always print all generation info to standard output": "Tüm üretim bilgilerini her zaman standart çıktıya yazdır",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Konsola tüm iş için ilerlemeyi gösteren ikinci bir ilerleme çubuğu ekleyin.",
+    "Training": "Eğitim",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Hiperneti eğitirken VAE ve CLIP'i RAM'e taşıyın. VRAM'den tasarruf sağlar.",
+    "Filename word regex": "Dosya adı kelime regex",
+    "Filename join string": "Dosya adı birleştirme dizesi",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Epok başına tek bir girdi görüntüsü için tekrar sayısı; yalnızca epok numarasını görüntülemek için kullanılır",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Her N adımda bir günlük dizinine kaybı içeren bir csv kaydedin, devre dışı bırakmak için 0",
+    "Stable Diffusion": "Kararlı Difüzyon",
+    "Checkpoints to cache in RAM": "RAM'de önbelleğe alınacak kontrol noktaları",
+    "Hypernetwork strength": "Hipernetwork gücü",
+    "Apply color correction to img2img results to match original colors.": "Orijinal renklerle eşleştirmek için img2img sonuçlarına renk düzeltmesi uygulayın.",
+    "Save a copy of image before applying color correction to img2img results": "img2img sonuçlarına renk düzeltmesi uygulamadan önce görüntünün bir kopyasını kaydedin",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "img2img ile, kaydırıcının belirttiği adım miktarını tam olarak yapın (normalde daha az denoising ile daha az yaparsınız).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Daha keskin ve temiz sonuçlar için K örnekleyicilerinde nicelemeyi etkinleştirin. Bu, mevcut tohumları değiştirebilir. Uygulamak için yeniden başlatma gerektirir.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Vurgu: modelin metne daha fazla dikkat etmesini sağlamak için (metin) ve daha az dikkat etmesini sağlamak için [metin] kullanın",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Eski vurgu uygulamasını kullanın. Eski tohumları yeniden üretmek faydalı olabilir.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "K-difüzyon örnekleyicilerinin tek bir görüntü oluştururken olduğu gibi toplu halde aynı görüntüleri üretmesini sağlayın",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "75'ten fazla belirteç kullanıldığında n belirteç içindeki son virgülden itibaren dolgu yaparak tutarlılığı artırın",
+    "Filter NSFW content": "NSFW içeriği filtreleme",
+    "Stop At last layers of CLIP model": "Durdur CLIP modelinin son katmanlarında",
+    "Interrogate Options": "Sorgulama Seçenekleri",
+    "Interrogate: keep models in VRAM": "Sorgula: modelleri VRAM'de tut",
+    "Interrogate: use artists from artists.csv": "Sorgula: artists.csv dosyasındaki sanatçıları kullan",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: sonuçlara eşleşen model etiketlerinin sıralarını dahil et (Başlık tabanlı sorgulayıcılar üzerinde etkisi yoktur).",
+    "Interrogate: num_beams for BLIP": "Sorgula: BLIP için num_beams",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Sorgula: minimum açıklama uzunluğu (sanatçılar vb. hariç)",
+    "Interrogate: maximum description length": "Sorgula: maksimum açıklama uzunluğu",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: metin dosyasındaki maksimum satır sayısı (0 = Sınır yok)",
+    "Interrogate: deepbooru score threshold": "Sorgula: deepbooru puan eşiği",
+    "Interrogate: deepbooru sort alphabetically": "Sorgula: deepbooru alfabetik olarak sırala",
+    "use spaces for tags in deepbooru": "deepbooru'da etiketler için boşluk kullanın",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "deepbooru'da kaçış (\\) parantezleri (böylece vurgu için değil, gerçek parantez olarak kullanılırlar)",
+    "User interface": "Kullanıcı arayüzü",
+    "Show progressbar": "İlerleme çubuğunu göster",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Her N örnekleme adımında görüntü oluşturma ilerlemesini gösterir. Devre dışı bırakmak için 0 olarak ayarlayın.",
+    "Show previews of all images generated in a batch as a grid": "Bir toplu işte oluşturulan tüm görüntülerin önizlemelerini ızgara olarak göster",
+    "Show grid in results for web": "Web için sonuçlarda ızgarayı göster",
+    "Do not show any images in results for web": "Web için sonuçlarda herhangi bir resim gösterme",
+    "Add model hash to generation information": "Üretim bilgilerine model karması ekleyin",
+    "Add model name to generation information": "Üretim bilgilerine model adı ekleme",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Üretim parametrelerini metinden kullanıcı arayüzüne okurken (PNG bilgisinden veya yapıştırılan metinden), seçilen modeli/denetim noktasını değiştirmeyin.",
+    "Font for image grids that have text": "Metin içeren görüntü ızgaraları için yazı tipi",
+    "Enable full page image viewer": "Tam sayfa resim görüntüleyiciyi etkinleştir",
+    "Show images zoomed in by default in full page image viewer": "Tam sayfa resim görüntüleyicide resimleri varsayılan olarak yakınlaştırılmış olarak gösterme",
+    "Show generation progress in window title.": "Pencere başlığında üretim ilerlemesini göster.",
+    "Quicksettings list": "Hızlı ayarlar listesi",
+    "Localization (requires restart)": "Yerelleştirme (yeniden başlatma gerektirir)",
+    "ko_KR": "ko_KR",
+    "ru_RU": "ru_RU",
+    "es_ES": "es_ES",
+    "ja_JP": "ja_JP",
+    "ar_AR": "ar_AR",
+    "Sampler parameters": "Örnekleyici parametreleri",
+    "Hide samplers in user interface (requires restart)": "Kullanıcı arayüzünde örnekleyicileri gizle (yeniden başlatma gerektirir)",
+    "eta (noise multiplier) for DDIM": "DDIM için eta (gürültü çarpanı)",
+    "eta (noise multiplier) for ancestral samplers": "eta örnekleyiciler için eta (gürültü çarpanı)",
+    "img2img DDIM discretize": "img2img DDIM discretize",
+    "uniform": "üniforma",
+    "quad": "dörtlü",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma gürültüsü",
+    "Eta noise seed delta": "Eta gürültü tohum deltası",
+    "Request browser notifications": "Tarayıcı bildirimleri isteyin",
+    "Download localization template": "Dil şablonunu indirin",
+    "Reload custom script bodies (No ui updates, No restart)": "Kişisel komut dosyası gövdelerini yeniden yükle (Kullanıcı arayüzü güncellemesi yok, yeniden başlatma yok)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradio'yu yeniden başlatın ve bileşenleri yenileyin (yalnızca Özel Komut Dosyaları, ui.py, js ve css)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "İstem (oluşturmak için Ctrl+Enter veya Alt+Enter tuşlarına basın)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Negatif istem (oluşturmak için Ctrl+Enter veya Alt+Enter tuşlarına basın)",
+    "Add a random artist to the prompt.": "Komut istemine rastgele bir sanatçı ekleyin.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Kullanıcı arayüzüne istemden veya istem boşsa son üretimden üretim parametrelerini okuyun.",
+    "Save style": "Stil kaydet",
+    "Apply selected styles to current prompt": "Seçilen stilleri geçerli komut istemine uygulama",
+    "Stop processing current image and continue processing.": "Geçerli görüntüyü işlemeyi durdurun ve işlemeye devam edin.",
+    "Stop processing images and return any results accumulated so far.": "Görüntüleri işlemeyi durdurun ve o ana kadar biriken tüm sonuçları döndürün.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Uygulanacak stil; stillerin hem pozitif hem de negatif istemler için bileşenleri vardır ve her ikisine de uygulanır",
+    "Do not do anything special": "Özel bir şey yapmayın",
+    "Which algorithm to use to produce the image": "Görüntüyü üretmek için hangi algoritmanın kullanılacağı",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - çok yaratıcı, adım sayısına bağlı olarak her biri tamamen farklı bir resim elde edebilir, adımları 30-40'tan daha yükseğe ayarlamak yardımcı olmaz",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Difüzyon Örtük Modelleri - en iyi inpainting",
+    "Produce an image that can be tiled.": "Döşenebilen bir görüntü üretin.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Bir görüntüyü kısmen daha düşük çözünürlükte oluşturmak, büyütmek ve ardından kompozisyonu değiştirmeden ayrıntıları iyileştirmek için iki adımlı bir işlem kullanın",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Algoritmanın resmin içeriğine ne kadar az saygı göstermesi gerektiğini belirler. 0'da hiçbir şey değişmez ve 1'de ilgisiz bir görüntü elde edersiniz. 1,0'ın altındaki değerlerde işleme, Örnekleme Adımları kaydırıcısının belirttiğinden daha az adım atacaktır.",
+    "How many batches of images to create": "Kaç görüntü grubu oluşturulacağı",
+    "How many image to create in a single batch": "Tek bir partide kaç görüntü oluşturulacağı",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Sınıflandırıcı Serbest Rehberlik Ölçeği - görüntünün istemle ne kadar uyumlu olması gerektiği - düşük değerler daha yaratıcı sonuçlar üretir",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Rastgele sayı üretecinin çıktısını belirleyen bir değer - başka bir resimle aynı parametrelere ve tohuma sahip bir resim oluşturursanız, aynı sonucu alırsınız",
+    "Set seed to -1, which will cause a new random number to be used every time": "Tohum değerini -1 olarak ayarlayın, bu her seferinde yeni bir rastgele sayı kullanılmasına neden olacaktır",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Son nesilden tohumu yeniden kullanın, çoğunlukla rastgele ise kullanışlıdır",
+    "Seed of a different picture to be mixed into the generation.": "Nesle karıştırılacak farklı bir resmin tohumu.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Ne kadar güçlü bir varyasyon üretileceği. 0'da hiçbir etki olmayacaktır. 1'de, varyasyon tohumu ile tam bir resim elde edersiniz (sadece bir şey alacağınız atasal örnekleyiciler hariç).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Belirtilen çözünürlükte aynı tohumla üretilecek olana benzer bir resim üretme girişiminde bulunun",
+    "Separate values for X axis using commas.": "X ekseni için değerleri virgül kullanarak ayırın.",
+    "Separate values for Y axis using commas.": "Y ekseni için değerleri virgül kullanarak ayırın.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Görüntüyü bir dizine (varsayılan - log/images) ve üretim parametrelerini csv dosyasına yazın.",
+    "Open images output directory": "Görüntü çıktı dizinini açın",
+    "How much to blur the mask before processing, in pixels.": "İşlemeden önce maskenin piksel cinsinden ne kadar bulanıklaştırılacağı.",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Kararlı Difüzyon ile işlemeden önce maskelenmiş alanın içine ne konulacağı.",
+    "fill it with colors of the image": "Görüntünün renkleriyle doldurun",
+    "keep whatever was there originally": "başlangıçta orada ne varsa saklayın",
+    "fill it with latent space noise": "gizli alan gürültüsü ile doldurun",
+    "fill it with latent space zeroes": "gizli uzay sıfırları ile doldurun",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Maskelenmiş bölgeyi hedef çözünürlüğe yükseltme, inpainting yapma, ölçeği küçültme ve orijinal görüntüye yapıştırma",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Görüntüyü hedef çözünürlüğe göre yeniden boyutlandırın. Yükseklik ve genişlik eşleşmediği sürece, yanlış en boy oranı elde edersiniz.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Görüntüyü, hedef çözünürlüğün tamamı görüntüyle dolacak şekilde yeniden boyutlandırın. Dışarıda kalan kısımları kırpın.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Görüntünün tamamı hedef çözünürlüğün içinde olacak şekilde görüntüyü yeniden boyutlandırın. Boş alanı görüntünün renkleriyle doldurun.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Bir görüntüyü işlemeyi kaç kez tekrarlamak ve bir sonraki yineleme için girdi olarak kullanmak",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "Geri döngü modunda, her döngüde denoising gücü bu değerle çarpılır. <1 çeşitliliğin azalması anlamına gelir, böylece diziniz sabit bir resme yakınsayacaktır. >1'den büyük olması çeşitliliğin artması anlamına gelir, böylece sekansınız gittikçe daha kaotik hale gelecektir.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD yükseltme için karolar arasında piksel olarak ne kadar örtüşme olmalıdır. Döşemeler, tekrar tek bir resimde birleştirildiklerinde açıkça görülebilen bir dikiş olmayacak şekilde üst üste biner.",
+    "A directory on the same machine where the server is running.": "Sunucunun çalıştığı makinedeki bir dizin.",
+    "Leave blank to save images to the default path.": "Görüntüleri varsayılan yola kaydetmek için boş bırakın.",
+    "Result = A * (1 - M) + B * M": "Sonuç = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Sonuç = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "1. ve son rakam 1 olmalıdır. örn:'1, 2, 1'",
+    "Path to directory with input images": "Girdi resimlerinin bulunduğu dizinin yolu",
+    "Path to directory where to write outputs": "Çıktıların yazılacağı dizinin yolu",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Görüntülerin dosya adlarının nasıl seçileceğini tanımlamak için aşağıdaki etiketleri kullanın: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; varsayılan için boş bırakın.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Bu seçenek etkinleştirilirse, oluşturulan görüntülere filigran eklenmeyecektir. Uyarı: filigran eklemezseniz, etik olmayan bir şekilde davranıyor olabilirsiniz.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Görüntüler ve ızgaralar için alt dizinlerin nasıl seçileceğini tanımlamak için aşağıdaki etiketleri kullanın: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; varsayılan için boş bırakın.",
+    "Restore low quality faces using GFPGAN neural network": "GFPGAN sinir ağını kullanarak düşük kaliteli yüzleri geri yükleme",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Bu düzenli ifade, dosya adından sözcükleri ayıklamak için kullanılır ve bunlar aşağıdaki seçenek kullanılarak eğitim için kullanılan etiket metnine birleştirilir. Dosya adı metnini olduğu gibi tutmak için boş bırakın.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Bu dize, yukarıdaki seçenek etkinleştirilirse bölünmüş kelimeleri tek bir satırda birleştirmek için kullanılacaktır.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Normal ayar sekmesi yerine üstteki hızlı erişim çubuğuna gitmesi gereken ayarlar için virgülle ayrılmış ayar adlarının listesi. Ayar adları için modules/shared.py dosyasına bakın. Uygulanması için yeniden başlatma gerekir.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Bu değer sıfır değilse, tohuma eklenecek ve Eta ile örnekleyiciler kullanılırken gürültüler için RNG'yi başlatmak için kullanılacaktır. Bunu daha fazla görüntü çeşitliliği üretmek için kullanabilir veya ne yaptığınızı biliyorsanız diğer yazılımların görüntülerini eşleştirmek için kullanabilirsiniz.."
+}
diff --git a/localizations/zh_CN.json b/localizations/zh_CN.json
new file mode 100644
index 00000000..e453f5e3
--- /dev/null
+++ b/localizations/zh_CN.json
@@ -0,0 +1,488 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "载入中...",
+    "view": "查看",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "基于 Gradio 构建",
+    "Stable Diffusion checkpoint": "Stable Diffusion 模型(ckpt)",
+    "txt2img": "文生图",
+    "img2img": "图生图",
+    "Extras": "后处理",
+    "PNG Info": "PNG 信息",
+    "Checkpoint Merger": "模型(ckpt)合并工具",
+    "Train": "训练",
+    "Create aesthetic embedding": "生成美术风格 embedding",
+    "Image Browser": "图库浏览器",
+    "History": "历史记录",
+    "Settings": "设置",
+    "Prompt": "提示词",
+    "Negative prompt": "反向提示词",
+    "Run": "运行",
+    "Skip": "跳过",
+    "Interrupt": "中止",
+    "Generate": "生成",
+    "Style 1": "模版风格 1",
+    "Style 2": "模版风格 2",
+    "Label": "标签",
+    "File": "文件",
+    "Drop File Here": "拖拽文件到此",
+    "-": "-",
+    "or": "或",
+    "Click to Upload": "点击上传",
+    "Image": "图像",
+    "Check progress": "查看进度",
+    "Check progress (first)": "(首次)查看进度",
+    "Sampling Steps": "采样迭代步数",
+    "Sampling method": "采样方法",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "宽度",
+    "Height": "高度",
+    "Restore faces": "面部修复",
+    "Tiling": "可平铺(Tiling)",
+    "Highres. fix": "高分辨率修复",
+    "Firstpass width": "第一遍的宽度",
+    "Firstpass height": "第一遍的高度",
+    "Denoising strength": "去噪强度",
+    "Batch count": "批次",
+    "Batch size": "批量",
+    "CFG Scale": "提示词相关性(CFG Scale)",
+    "Seed": "随机种子",
+    "Extra": "额外参数",
+    "Variation seed": "差异随机种子",
+    "Variation strength": "差异强度",
+    "Resize seed from width": "自宽度缩放随机种子",
+    "Resize seed from height": "自高度缩放随机种子",
+    "Open for Clip Aesthetic!": "打开美术风格 Clip!",
+    "▼": "▼",
+    "Aesthetic weight": "美术风格权重",
+    "Aesthetic steps": "美术风格迭代步数",
+    "Aesthetic learning rate": "美术风格学习率",
+    "Slerp interpolation": "Slerp 插值",
+    "Aesthetic imgs embedding": "美术风格图集 embedding",
+    "None": "无",
+    "Aesthetic text for imgs": "该图集的美术风格描述",
+    "Slerp angle": "Slerp 角度",
+    "Is negative text": "是反向提示词",
+    "Script": "脚本",
+    "Embedding to Shareable PNG": "将 Embedding 转换为可分享的 PNG",
+    "Prompt matrix": "提示词矩阵",
+    "Prompts from file or textbox": "从文本框或文件载入提示词",
+    "X/Y plot": "X/Y 图表",
+    "Source embedding to convert": "用于转换的源 Embedding",
+    "Embedding token": "Embedding 的 token (关键词)",
+    "Put variable parts at start of prompt": "把变量部分放在提示词文本的开头",
+    "Show Textbox": "显示文本框",
+    "File with inputs": "含输入内容的文件",
+    "Prompts": "提示词",
+    "X type": "X轴类型",
+    "Nothing": "无",
+    "Var. seed": "差异随机种子",
+    "Var. strength": "差异强度",
+    "Steps": "迭代步数",
+    "Prompt S/R": "提示词替换",
+    "Prompt order": "提示词顺序",
+    "Sampler": "采样器",
+    "Checkpoint name": "模型(ckpt)名",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Hypernetwork 强度",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "最小 Sigma",
+    "Sigma max": "最大 Sigma",
+    "Sigma noise": "Sigma noise",
+    "Eta": "Eta",
+    "Clip skip": "Clip 跳过",
+    "Denoising": "去噪",
+    "X values": "X轴数值",
+    "Y type": "Y轴类型",
+    "Y values": "Y轴数值",
+    "Draw legend": "在图表中包括轴标题",
+    "Include Separate Images": "包括独立的图像",
+    "Keep -1 for seeds": "保持随机种子为-1",
+    "Drop Image Here": "拖拽图像到此",
+    "Save": "保存",
+    "Send to img2img": ">> 图生图",
+    "Send to inpaint": ">> 内补绘制",
+    "Send to extras": ">> 后处理",
+    "Make Zip when Save?": "保存时生成zip压缩文件?",
+    "Textbox": "文本框",
+    "Interrogate\nCLIP": "CLIP\n反推提示词",
+    "Interrogate\nDeepBooru": "DeepBooru\n反推提示词",
+    "Inpaint": "内补绘制",
+    "Batch img2img": "批量图生图",
+    "Image for img2img": "图生图的图像",
+    "Image for inpainting with mask": "用于内补绘制蒙版内容的图像",
+    "Mask": "蒙版",
+    "Mask blur": "蒙版模糊",
+    "Mask mode": "蒙版模式",
+    "Draw mask": "绘制蒙版",
+    "Upload mask": "上传蒙版",
+    "Masking mode": "蒙版模式",
+    "Inpaint masked": "内补绘制蒙版内容",
+    "Inpaint not masked": "内补绘制非蒙版内容",
+    "Masked content": "蒙版蒙住的内容",
+    "fill": "填充",
+    "original": "原图",
+    "latent noise": "潜空间噪声",
+    "latent nothing": "潜空间数值零",
+    "Inpaint at full resolution": "以完整分辨率进行内补绘制",
+    "Inpaint at full resolution padding, pixels": "以完整分辨率进行内补绘制 - 填补像素",
+    "Process images in a directory on the same machine where the server is running.": "在服务器主机上的目录中处理图像",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "指定一个空的文件夹为输出目录而非默认的 output 文件夹为输出目录",
+    "Disabled when launched with --hide-ui-dir-config.": "启动 --hide-ui-dir-config 时禁用",
+    "Input directory": "输入目录",
+    "Output directory": "输出目录",
+    "Resize mode": "缩放模式",
+    "Just resize": "只缩放",
+    "Crop and resize": "缩放并剪裁",
+    "Resize and fill": "缩放并填充",
+    "img2img alternative test": "图生图的另一种测试",
+    "Loopback": "回送",
+    "Outpainting mk2": "外补绘制第二版",
+    "Poor man's outpainting": "效果稍差的外补绘制",
+    "SD upscale": "使用 SD 放大(SD upscale)",
+    "should be 2 or lower.": "必须小于等于2",
+    "Override `Sampling method` to Euler?(this method is built for it)": "覆写 `采样方法` 为 Euler?(这个方法就是为这样做设计的)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆写 `提示词` 为 `初始提示词`?(包括`反向提示词`)",
+    "Original prompt": "初始提示词",
+    "Original negative prompt": "初始反向提示词",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "覆写 `采样迭代步数` 为 `解码迭代步数`?",
+    "Decode steps": "解码迭代步数",
+    "Override `Denoising strength` to 1?": "覆写 `去噪强度` 为 1?",
+    "Decode CFG scale": "解码提示词相关性(CFG scale)",
+    "Randomness": "随机度",
+    "Sigma adjustment for finding noise for image": "为寻找图中噪点的 Sigma 调整",
+    "Loops": "迭代次数",
+    "Denoising strength change factor": "去噪强度的调整系数",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置：采样迭代步数：80-100，采样器：Euler a，去噪强度：0.8",
+    "Pixels to expand": "拓展的像素数",
+    "Outpainting direction": "外补绘制的方向",
+    "left": "左",
+    "right": "右",
+    "up": "上",
+    "down": "下",
+    "Fall-off exponent (lower=higher detail)": "衰减指数(越低细节越好)",
+    "Color variation": "色彩变化",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "将图像放大到两倍尺寸； 使用宽度和高度滑块设置图块尺寸(tile size)",
+    "Tile overlap": "图块重叠的像素(Tile overlap)",
+    "Upscaler": "放大算法",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "BSRGAN 4x": "BSRGAN 4x",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR_4x": "SwinIR 4x",
+    "Single Image": "单个图像",
+    "Batch Process": "批量处理",
+    "Batch from Directory": "从目录进行批量处理",
+    "Source": "来源",
+    "Show result images": "显示输出图像",
+    "Scale by": "等比缩放",
+    "Scale to": "指定尺寸缩放",
+    "Resize": "缩放",
+    "Crop to fit": "裁剪以适应",
+    "Upscaler 2": "放大算法 2",
+    "Upscaler 2 visibility": "放大算法 2 可见度",
+    "GFPGAN visibility": "GFPGAN 可见度",
+    "CodeFormer visibility": "CodeFormer 可见度",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 权重 (0 = 最大效果, 1 = 最小效果)",
+    "Open output directory": "打开输出目录",
+    "Send to txt2img": ">> 文生图",
+    "A merger of the two checkpoints will be generated in your": "合并后的模型(ckpt)会生成在你的",
+    "checkpoint": "模型(ckpt)",
+    "directory.": "目录",
+    "Primary model (A)": "主要模型 (A)",
+    "Secondary model (B)": "第二模型 (B)",
+    "Tertiary model (C)": "第三模型 (C)",
+    "Custom Name (Optional)": "自定义名称 (可选)",
+    "Multiplier (M) - set to 0 to get model A": "倍率 (M) - 设为 0 等价于模型 A",
+    "Interpolation Method": "插值方法",
+    "Weighted sum": "加权和",
+    "Add difference": "添加差分",
+    "Save as float16": "以 float16 储存",
+    "See": "查看",
+    "wiki": "wiki",
+    "for detailed explanation.": "以了解详细说明",
+    "Create embedding": "生成 embedding",
+    "Create aesthetic images embedding": "生成美术风格图集 embedding",
+    "Create hypernetwork": "生成 hypernetwork",
+    "Preprocess images": "图像预处理",
+    "Name": "名称",
+    "Initialization text": "初始化文字",
+    "Number of vectors per token": "每个 token 的向量数",
+    "Overwrite Old Embedding": "覆写旧的 Embedding",
+    "Modules": "模块",
+    "Enter hypernetwork layer structure": "输入 hypernetwork 层结构",
+    "Select activation function of hypernetwork": "选择 hypernetwork 的激活函数",
+    "linear": "linear",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "Add layer normalization": "添加层标准化",
+    "Use dropout": "采用 dropout 防止过拟合",
+    "Overwrite Old Hypernetwork": "覆写旧的 Hypernetwork",
+    "Source directory": "源目录",
+    "Destination directory": "目标目录",
+    "Existing Caption txt Action": "对已有的 txt 说明文字的行为",
+    "ignore": "无视",
+    "copy": "复制",
+    "prepend": "放前面",
+    "append": "放后面",
+    "Create flipped copies": "生成镜像副本",
+    "Split oversized images into two": "将过大的图像分为两份",
+    "Split oversized images": "分割过大的图像",
+    "Use BLIP for caption": "使用 BLIP 生成说明文字(自然语言描述)",
+    "Use deepbooru for caption": "使用 deepbooru 生成说明文字(tags)",
+    "Split image threshold": "图像分割阈值",
+    "Split image overlap ratio": "分割图像重叠的比率",
+    "Preprocess": "预处理",
+    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "训练 embedding； 必须指定一组具有 1:1 比例图像的目录",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "训练 embedding 或者 hypernetwork； 必须指定一组具有 1:1 比例图像的目录",
+    "[wiki]": "[wiki]",
+    "Embedding": "Embedding",
+    "Embedding Learning rate": "Embedding 学习率",
+    "Hypernetwork Learning rate": "Hypernetwork 学习率",
+    "Learning rate": "学习率",
+    "Dataset directory": "数据集目录",
+    "Log directory": "日志目录",
+    "Prompt template file": "提示词模版文件",
+    "Max steps": "最大迭代步数",
+    "Save an image to log directory every N steps, 0 to disable": "每 N 步保存一个图像到日志目录，0 表示禁用",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "每 N 步将 embedding 的副本保存到日志目录，0 表示禁用",
+    "Save images with embedding in PNG chunks": "保存图像并在 PNG 文件中嵌入 embedding 文件",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "进行预览时从文生图选项卡中读取参数（提示词等）",
+    "Train Hypernetwork": "训练 Hypernetwork",
+    "Train Embedding": "训练 Embedding",
+    "Create an aesthetic embedding out of any number of images": "从任意数量的图像中创建美术风格 embedding",
+    "Create images embedding": "生成图集 embedding",
+    "txt2img history": "文生图历史记录",
+    "img2img history": "图生图历史记录",
+    "extras history": "后处理历史记录",
+    "Renew Page": "刷新页面",
+    "extras": "后处理",
+    "favorites": "收藏夹",
+    "custom fold": "自定义文件夹",
+    "Load": "载入",
+    "Images directory": "图像目录",
+    "Prev batch": "上一批",
+    "Next batch": "下一批",
+    "First Page": "首页",
+    "Prev Page": "上一页",
+    "Page Index": "页数",
+    "Next Page": "下一页",
+    "End Page": "尾页",
+    "number of images to delete consecutively next": "接下来要连续删除的图像数",
+    "Delete": "删除",
+    "Generate Info": "生成信息",
+    "File Name": "文件名",
+    "Collect": "收藏",
+    "Refresh page": "刷新页面",
+    "Date to": "日期至",
+    "Number": "数量",
+    "set_index": "设置索引",
+    "Checkbox": "勾选框",
+    "Apply settings": "保存设置",
+    "Saving images/grids": "保存图像/概览图",
+    "Always save all generated images": "始终保存所有生成的图像",
+    "File format for images": "图像的文件格式",
+    "Images filename pattern": "图像文件名格式",
+    "Always save all generated image grids": "始终保存所有生成的概览图",
+    "File format for grids": "概览图的文件格式",
+    "Add extended info (seed, prompt) to filename when saving grid": "保存概览时将扩展信息（随机种子、提示词）添加到文件名",
+    "Do not save grids consisting of one picture": "只有一张图片时不要保存概览图",
+    "Prevent empty spots in grid (when set to autodetect)": "（在自动检测时）防止概览图中出现空位",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "概览行数； 使用 -1 进行自动检测，使用 0 使其与批量大小相同",
+    "Save text information about generation parameters as chunks to png files": "将有关生成参数的文本信息作为块保存到 png 文件中",
+    "Create a text file next to every image with generation parameters.": "保存图像时在每个图像旁边创建一个文本文件储存生成参数",
+    "Save a copy of image before doing face restoration.": "在进行面部修复之前保存图像副本",
+    "Quality for saved jpeg images": "保存的 jpeg 图像的质量",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "如果 PNG 图像大于 4MB 或宽高大于 4000，则缩小并保存副本为 JPG",
+    "Use original name for output filename during batch process in extras tab": "在后处理选项卡中的批量处理过程中使用原始名称作为输出文件名",
+    "When using 'Save' button, only save a single selected image": "使用“保存”按钮时，只保存一个选定的图像",
+    "Do not add watermark to images": "不要给图像加水印",
+    "Paths for saving": "保存路径",
+    "Output directory for images; if empty, defaults to three directories below": "图像的输出目录； 如果为空，则默认为以下三个目录",
+    "Output directory for txt2img images": "文生图的输出目录",
+    "Output directory for img2img images": "图生图的输出目录",
+    "Output directory for images from extras tab": "后处理的输出目录",
+    "Output directory for grids; if empty, defaults to two directories below": "概览图的输出目录； 如果为空，则默认为以下两个目录",
+    "Output directory for txt2img grids": "文生图概览的输出目录",
+    "Output directory for img2img grids": "图生图概览的输出目录",
+    "Directory for saving images using the Save button": "使用“保存”按钮保存图像的目录",
+    "Saving to a directory": "保存到目录",
+    "Save images to a subdirectory": "将图像保存到子目录",
+    "Save grids to a subdirectory": "将概览图保存到子目录",
+    "When using \"Save\" button, save images to a subdirectory": "使用“保存”按钮时，将图像保存到子目录",
+    "Directory name pattern": "目录名称格式",
+    "Max prompt words for [prompt_words] pattern": "[prompt_words] 格式的最大提示词数量",
+    "Upscaling": "放大",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的图块尺寸(Tile size)。0 = 不分块(no tiling)",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN 的图块重叠(Tile overlap)像素。低值 = 可见接缝",
+    "Tile size for all SwinIR.": "适用所有 SwinIR 系算法的图块尺寸(Tile size)",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR 的图块重叠(Tile overlap)像素。低值 = 可见接缝",
+    "LDSR processing steps. Lower = faster": "LDSR 处理迭代步数。更低 = 更快",
+    "Upscaler for img2img": "图生图的放大算法",
+    "Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大潜空间图像",
+    "Face restoration": "面部修复",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 权重参数； 0 = 最大效果； 1 = 最小效果",
+    "Move face restoration model from VRAM into RAM after processing": "面部修复处理完成后将面部修复模型从显存(VRAM)移至内存(RAM)",
+    "System": "系统",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "生成图像时每秒轮询显存(VRAM)使用情况的次数。设置为 0 以禁用",
+    "Always print all generation info to standard output": "始终将所有生成信息输出到 standard output (一般为控制台)",
+    "Add a second progress bar to the console that shows progress for an entire job.": "向控制台添加第二个进度条，显示整个作业的进度",
+    "Training": "训练",
+    "Unload VAE and CLIP from VRAM when training": "训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)，节省显存(VRAM)",
+    "Filename word regex": "文件名用词的正则表达式",
+    "Filename join string": "文件名连接用字符串",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "每个 epoch 中单个输入图像的重复次数； 仅用于显示 epoch 数",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "每 N 步保存一个包含 loss 的 csv 到日志目录，0 表示禁用",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "缓存在内存(RAM)中的模型(ckpt)",
+    "Hypernetwork strength": "Hypernetwork 强度",
+    "Apply color correction to img2img results to match original colors.": "对图生图结果应用颜色校正以匹配原始颜色",
+    "Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图生图的时候，确切地执行滑块指定的迭代步数（正常情况下更弱的去噪需要更少的迭代步数）",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。这可能会改变现有的随机种子。需要重新启动才能应用",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。可用于复现旧随机种子",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 采样器批量生成与生成单个图像时产出相同的图像",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个 token 时，通过从 n 个 token 中的最后一个逗号填补来提高一致性",
+    "Filter NSFW content": "过滤成人内容",
+    "Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下",
+    "Interrogate Options": "反推提示词选项",
+    "Interrogate: keep models in VRAM": "反推: 将模型保存在显存(VRAM)中",
+    "Interrogate: use artists from artists.csv": "反推: 使用 artists.csv 中的艺术家",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "反推: 在生成结果中包含与模型标签(tags)相匹配的等级（对基于生成自然语言描述的反推没有影响）",
+    "Interrogate: num_beams for BLIP": "反推: BLIP 的 num_beams",
+    "Interrogate: minimum description length (excluding artists, etc..)": "反推: 最小描述长度（不包括艺术家, 等…）",
+    "Interrogate: maximum description length": "反推: 最大描述长度",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: 文本文件中的最大行数（0 = 无限制）",
+    "Interrogate: deepbooru score threshold": "反推: deepbooru 分数阈值",
+    "Interrogate: deepbooru sort alphabetically": "反推: deepbooru 按字母顺序排序",
+    "use spaces for tags in deepbooru": "在 deepbooru 中为标签使用空格",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "在 deepbooru 中使用转义 (\\) 括号（因此它们用作文字括号而不是强调符号）",
+    "User interface": "用户界面",
+    "Show progressbar": "显示进度条",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "每 N 个采样迭代步数显示图像生成进度。设置 0 禁用",
+    "Show previews of all images generated in a batch as a grid": "以网格的形式预览所有批量生成出来的图像",
+    "Show grid in results for web": "在网页的结果中显示概览图",
+    "Do not show any images in results for web": "不在网页的结果中显示任何图像",
+    "Add model hash to generation information": "将模型的哈希值添加到生成信息",
+    "Add model name to generation information": "将模型名称添加到生成信息",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "当从文本读取生成参数到 UI（从 PNG 信息或粘贴文本）时，不要更改选定的模型(ckpt)",
+    "Font for image grids that have text": "有文字的概览图使用的字体",
+    "Enable full page image viewer": "启用整页图像查看器",
+    "Show images zoomed in by default in full page image viewer": "在整页图像查看器中默认放大显示图像",
+    "Show generation progress in window title.": "在窗口标题中显示生成进度",
+    "Quicksettings list": "快速设置列表",
+    "Localization (requires restart)": "本地化（需要重新启动）",
+    "Sampler parameters": "采样器参数",
+    "Hide samplers in user interface (requires restart)": "在用户界面中隐藏采样器（需要重新启动）",
+    "eta (noise multiplier) for DDIM": "DDIM 的 eta (噪声乘数) ",
+    "eta (noise multiplier) for ancestral samplers": "ancestral 采样器的 eta (噪声乘数)",
+    "img2img DDIM discretize": "图生图 DDIM 离散化",
+    "uniform": "均勻",
+    "quad": "二阶",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "最小(tmin) sigma",
+    "sigma noise": "sigma 噪声",
+    "Eta noise seed delta": "Eta 噪声种子偏移(noise seed delta)",
+    "Images Browser": "图库浏览器",
+    "Preload images at startup": "在启动时预载图像",
+    "Number of columns on the page": "每页列数",
+    "Number of rows on the page": "每页行数",
+    "Number of pictures displayed on each page": "每页显示的图像数量",
+    "Minimum number of pages per load": "每次加载的最小页数",
+    "Number of grids in each row": "每行显示多少格",
+    "Wildcards": "通配符",
+    "Use same seed for all images": "为所有图像使用同一个随机种子",
+    "Request browser notifications": "请求浏览器通知",
+    "Download localization template": "下载本地化模板",
+    "Reload custom script bodies (No ui updates, No restart)": "重新加载自定义脚本主体（无 ui 更新，无重启）",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "重启 Gradio 及刷新组件（仅限自定义脚本、ui.py、js 和 css）",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示词（按 Ctrl+Enter 或 Alt+Enter 生成）",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "反向提示词（按 Ctrl+Enter 或 Alt+Enter 生成）",
+    "Add a random artist to the prompt.": "随机添加一个艺术家到提示词中",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "从提示词中读取生成参数，如果提示词为空，则读取上一次的生成参数到用户界面",
+    "Save style": "储存为模版风格",
+    "Apply selected styles to current prompt": "将所选样式应用于当前提示",
+    "Stop processing current image and continue processing.": "停止处理当前图像并继续处理下一个",
+    "Stop processing images and return any results accumulated so far.": "停止处理图像并返回迄今为止累积的任何结果",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "要应用的模版风格； 模版风格包含正向和反向提示词，并应用于两者",
+    "Do not do anything special": "什么都不做",
+    "Which algorithm to use to produce the image": "使用哪种算法生成图像",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图像，将迭代步数设置为高于 30-40 不会有正面作用",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅长内补绘制",
+    "Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用两步处理的时候以较小的分辨率生成初步图像、接着放大图像，然后在不更改构图的情况下改进其中的细节",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "决定算法对图像内容的影响程度。设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数",
+    "How many batches of images to create": "创建多少批次的图像",
+    "How many image to create in a single batch": "每批创建多少图像",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 图像应在多大程度上服从提示词 - 较低的值会产生更有创意的结果",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一个固定随机数生成器输出的值 - 以相同参数和随机种子生成的图像会得到相同的结果",
+    "Set seed to -1, which will cause a new random number to be used every time": "将随机种子设置为-1，则每次都会使用一个新的随机数",
+    "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的随机种子，如果想要固定结果就会很有用",
+    "Seed of a different picture to be mixed into the generation.": "将要参与生成的另一张图的随机种子",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要产生多强烈的变化。设为 0 时，将没有效果。设为 1 时，你将获得完全产自差异随机种子的图像（ancestral 采样器除外，你只是单纯地生成了一些东西）",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "尝试生成与在指定分辨率下使用相同随机种子生成的图像相似的图片",
+    "This text is used to rotate the feature space of the imgs embs": "此文本用于旋转图集 embeddings 的特征空间",
+    "Separate values for X axis using commas.": "使用逗号分隔 X 轴的值",
+    "Separate values for Y axis using commas.": "使用逗号分隔 Y 轴的值",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "将图像写入目录（默认 - log/images）并将生成参数写入 csv 文件",
+    "Open images output directory": "打开图像输出目录",
+    "How much to blur the mask before processing, in pixels.": "处理前要对蒙版进行多强的模糊，以像素为单位",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "在使用 Stable Diffusion 处理蒙版区域之前要在蒙版区域内放置什么",
+    "fill it with colors of the image": "用图像的颜色填充它",
+    "keep whatever was there originally": "保留原来的东西",
+    "fill it with latent space noise": "用潜空间的噪声填充它",
+    "fill it with latent space zeroes": "用潜空间的零填充它",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域放大到目标分辨率，做内补绘制，缩小后粘贴到原始图像中",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "将图像大小调整为目标分辨率。除非高度和宽度匹配，否则你将获得不正确的纵横比",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。裁剪多出来的部分",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。用图像的颜色填充空白区域",
+    "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像并用作下次迭代输入的次数",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，去噪强度都会乘以该值。<1 表示减少多样性，因此你的这一组图将集中在固定的图像上。>1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。图块(Tiles)之间需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
+    "A directory on the same machine where the server is running.": "与服务器主机上的目录",
+    "Leave blank to save images to the default path.": "留空以将图像保存到默认路径",
+    "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "结果 = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "第一个和最后一个数字必须是 1。例:'1, 2, 1'",
+    "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "训练应该多快。低值将需要更长的时间来训练，高值可能无法收敛（无法产生准确的结果）以及/也许可能会破坏 embedding（如果你在训练信息文本框中看到 Loss: nan 就会发生这种情况。如果发生这种情况，你需要从较旧的未损坏的备份手动恢复 embedding）\n\n你可以使用以下语法设置单个数值或多个学习率：\n\n   率1:步限1, 率2:步限2, ...\n\n如:   0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步将以 0.005 的速率训练，接着直到 1000 步为止以 1e-3 训练，然后剩余所有步以 1e-5 训练",
+    "Path to directory with input images": "带有输入图像的路径",
+    "Path to directory where to write outputs": "进行输出的路径",
+    "Input images directory": "输入图像目录",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下标签定义如何选择图像的文件名: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "如果启用此选项，水印将不会添加到生成出来的图像中。警告：如果你不添加水印，你的行为可能是不符合专业操守的",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下标签定义如何选择图像和概览图的子目录: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",
+    "Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神经网络修复低质量面部",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "此正则表达式将用于从文件名中提取单词，并将使用以下选项将它们接合到用于训练的标签文本中。留空以保持文件名文本不变",
+    "This string will be used to join split words into a single line if the option above is enabled.": "如果启用了上述选项，则此处的字符会用于将拆分的单词接合为同一行",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "设置名称列表，以逗号分隔，设置应转到顶部的快速访问栏，而不是通常的设置选项卡。有关设置名称，请参见 modules/shared.py。需要重新启动才能应用",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "如果这个值不为零，它将被添加到随机种子中，并在使用带有 Eta 的采样器时用于初始化随机噪声。你可以使用它来产生更多的图像变化，或者你可以使用它来模仿其他软件生成的图像，如果你知道你在做什么",
+    "Enable Autocomplete": "开启Tag补全",
+    "Allowed categories for random artists selection when using the Roll button": "使用抽选艺术家按钮时将会随机的艺术家类别",
+    "Roll three": "抽三位出來",
+    "Generate forever": "不停地生成",
+    "Cancel generate forever": "取消不停地生成"
+}
diff --git a/modules/api/api.py b/modules/api/api.py
index 67b783de..ca289d9f 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -54,7 +54,7 @@ class Api:
         
         b64images = list(map(encode_pil_to_base64, processed.images))
         
-        return TextToImageResponse(images=b64images, parameters=vars(txt2imgreq), info=processed.info)
+        return TextToImageResponse(images=b64images, parameters=vars(txt2imgreq), info=processed.js())
 
     def img2imgapi(self, img2imgreq: StableDiffusionImg2ImgProcessingAPI):
         sampler_index = sampler_to_index(img2imgreq.sampler_index)
@@ -93,8 +93,12 @@ class Api:
             processed = process_images(p)
         
         b64images = list(map(encode_pil_to_base64, processed.images))
+
+        if (not img2imgreq.include_init_images):
+            img2imgreq.init_images = None
+            img2imgreq.mask = None
        
-        return ImageToImageResponse(images=b64images, parameters=vars(img2imgreq), info=processed.info)
+        return ImageToImageResponse(images=b64images, parameters=vars(img2imgreq), info=processed.js())
 
     def extras_single_image_api(self, req: ExtrasSingleImageRequest):
         reqDict = setUpscalers(req)
diff --git a/modules/api/models.py b/modules/api/models.py
index 66d15765..00406368 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -31,6 +31,7 @@ class ModelDef(BaseModel):
     field_alias: str
     field_type: Any
     field_value: Any
+    field_exclude: bool = False
 
 
 class PydanticModelGenerator:
@@ -78,7 +79,8 @@ class PydanticModelGenerator:
                 field=underscore(fields["key"]), 
                 field_alias=fields["key"], 
                 field_type=fields["type"],
-                field_value=fields["default"]))
+                field_value=fields["default"],
+                field_exclude=fields["exclude"] if "exclude" in fields else False))
 
     def generate_model(self):
         """
@@ -86,7 +88,7 @@ class PydanticModelGenerator:
         from the json and overrides provided at initialization
         """
         fields = {
-            d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias)) for d in self._model_def
+            d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias, exclude=d.field_exclude)) for d in self._model_def
         }
         DynamicModel = create_model(self._model_name, **fields)
         DynamicModel.__config__.allow_population_by_field_name = True
@@ -102,7 +104,7 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
 StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
     "StableDiffusionProcessingImg2Img", 
     StableDiffusionProcessingImg2Img,
-    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}]
+    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}, {"key": "include_init_images", "type": bool, "default": False, "exclude" : True}]
 ).generate_model()
 
 class TextToImageResponse(BaseModel):
diff --git a/modules/devices.py b/modules/devices.py
index dc1f3cdd..7511e1dc 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -45,7 +45,7 @@ def enable_tf32():
 
 errors.run(enable_tf32, "Enabling TF32")
 
-device = device_interrogate = device_gfpgan = device_bsrgan = device_esrgan = device_scunet = device_codeformer = None
+device = device_interrogate = device_gfpgan = device_swinir = device_esrgan = device_scunet = device_codeformer = None
 dtype = torch.float16
 dtype_vae = torch.float16
 
@@ -81,3 +81,7 @@ def autocast(disable=False):
         return contextlib.nullcontext()
 
     return torch.autocast("cuda")
+
+# MPS workaround for https://github.com/pytorch/pytorch/issues/79383
+def mps_contiguous(input_tensor, device): return input_tensor.contiguous() if device.type == 'mps' else input_tensor
+def mps_contiguous_to(input_tensor, device): return mps_contiguous(input_tensor, device).to(device)
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py
index a49e2258..a13cf6ac 100644
--- a/modules/esrgan_model.py
+++ b/modules/esrgan_model.py
@@ -190,7 +190,7 @@ def upscale_without_tiling(model, img):
     img = img[:, :, ::-1]
     img = np.ascontiguousarray(np.transpose(img, (2, 0, 1))) / 255
     img = torch.from_numpy(img).float()
-    img = img.unsqueeze(0).to(devices.device_esrgan)
+    img = devices.mps_contiguous_to(img.unsqueeze(0), devices.device_esrgan)
     with torch.no_grad():
         output = model(img)
     output = output.squeeze().float().cpu().clamp_(0, 1).numpy()
diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index d647ea55..8113b35b 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -5,6 +5,7 @@ import html
 import os
 import sys
 import traceback
+import inspect
 
 import modules.textual_inversion.dataset
 import torch
@@ -15,10 +16,12 @@ from modules import devices, processing, sd_models, shared
 from modules.textual_inversion import textual_inversion
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
 from torch import einsum
+from torch.nn.init import normal_, xavier_normal_, xavier_uniform_, kaiming_normal_, kaiming_uniform_, zeros_
 
 from collections import defaultdict, deque
 from statistics import stdev, mean
 
+
 class HypernetworkModule(torch.nn.Module):
     multiplier = 1.0
     activation_dict = {
@@ -26,9 +29,12 @@ class HypernetworkModule(torch.nn.Module):
         "leakyrelu": torch.nn.LeakyReLU,
         "elu": torch.nn.ELU,
         "swish": torch.nn.Hardswish,
+        "tanh": torch.nn.Tanh,
+        "sigmoid": torch.nn.Sigmoid,
     }
+    activation_dict.update({cls_name.lower(): cls_obj for cls_name, cls_obj in inspect.getmembers(torch.nn.modules.activation) if inspect.isclass(cls_obj) and cls_obj.__module__ == 'torch.nn.modules.activation'})
 
-    def __init__(self, dim, state_dict=None, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
+    def __init__(self, dim, state_dict=None, layer_structure=None, activation_func=None, weight_init='Normal', add_layer_norm=False, use_dropout=False):
         super().__init__()
 
         assert layer_structure is not None, "layer_structure must not be None"
@@ -65,9 +71,24 @@ class HypernetworkModule(torch.nn.Module):
         else:
             for layer in self.linear:
                 if type(layer) == torch.nn.Linear or type(layer) == torch.nn.LayerNorm:
-                    layer.weight.data.normal_(mean=0.0, std=0.01)
-                    layer.bias.data.zero_()
-
+                    w, b = layer.weight.data, layer.bias.data
+                    if weight_init == "Normal" or type(layer) == torch.nn.LayerNorm:
+                        normal_(w, mean=0.0, std=0.01)
+                        normal_(b, mean=0.0, std=0.005)
+                    elif weight_init == 'XavierUniform':
+                        xavier_uniform_(w)
+                        zeros_(b)
+                    elif weight_init == 'XavierNormal':
+                        xavier_normal_(w)
+                        zeros_(b)
+                    elif weight_init == 'KaimingUniform':
+                        kaiming_uniform_(w, nonlinearity='leaky_relu' if 'leakyrelu' == activation_func else 'relu')
+                        zeros_(b)
+                    elif weight_init == 'KaimingNormal':
+                        kaiming_normal_(w, nonlinearity='leaky_relu' if 'leakyrelu' == activation_func else 'relu')
+                        zeros_(b)
+                    else:
+                        raise KeyError(f"Key {weight_init} is not defined as initialization!")
         self.to(devices.device)
 
     def fix_old_state_dict(self, state_dict):
@@ -105,7 +126,7 @@ class Hypernetwork:
     filename = None
     name = None
 
-    def __init__(self, name=None, enable_sizes=None, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
+    def __init__(self, name=None, enable_sizes=None, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False):
         self.filename = None
         self.name = name
         self.layers = {}
@@ -114,13 +135,14 @@ class Hypernetwork:
         self.sd_checkpoint_name = None
         self.layer_structure = layer_structure
         self.activation_func = activation_func
+        self.weight_init = weight_init
         self.add_layer_norm = add_layer_norm
         self.use_dropout = use_dropout
 
         for size in enable_sizes or []:
             self.layers[size] = (
-                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
-                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
+                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.weight_init, self.add_layer_norm, self.use_dropout),
+                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.weight_init, self.add_layer_norm, self.use_dropout),
             )
 
     def weights(self):
@@ -144,6 +166,7 @@ class Hypernetwork:
         state_dict['layer_structure'] = self.layer_structure
         state_dict['activation_func'] = self.activation_func
         state_dict['is_layer_norm'] = self.add_layer_norm
+        state_dict['weight_initialization'] = self.weight_init
         state_dict['use_dropout'] = self.use_dropout
         state_dict['sd_checkpoint'] = self.sd_checkpoint
         state_dict['sd_checkpoint_name'] = self.sd_checkpoint_name
@@ -158,15 +181,21 @@ class Hypernetwork:
         state_dict = torch.load(filename, map_location='cpu')
 
         self.layer_structure = state_dict.get('layer_structure', [1, 2, 1])
+        print(self.layer_structure)
         self.activation_func = state_dict.get('activation_func', None)
+        print(f"Activation function is {self.activation_func}")
+        self.weight_init = state_dict.get('weight_initialization', 'Normal')
+        print(f"Weight initialization is {self.weight_init}")
         self.add_layer_norm = state_dict.get('is_layer_norm', False)
+        print(f"Layer norm is set to {self.add_layer_norm}")
         self.use_dropout = state_dict.get('use_dropout', False)
+        print(f"Dropout usage is set to {self.use_dropout}" )
 
         for size, sd in state_dict.items():
             if type(size) == int:
                 self.layers[size] = (
-                    HypernetworkModule(size, sd[0], self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
-                    HypernetworkModule(size, sd[1], self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
+                    HypernetworkModule(size, sd[0], self.layer_structure, self.activation_func, self.weight_init, self.add_layer_norm, self.use_dropout),
+                    HypernetworkModule(size, sd[1], self.layer_structure, self.activation_func, self.weight_init, self.add_layer_norm, self.use_dropout),
                 )
 
         self.name = state_dict.get('name', self.name)
@@ -458,7 +487,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
             if image is not None:
                 shared.state.current_image = image
-                last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename)
+                last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
                 last_saved_image += f", prompt: {preview_text}"
 
         shared.state.job_no = hypernetwork.step
diff --git a/modules/hypernetworks/ui.py b/modules/hypernetworks/ui.py
index 2b472d87..2c6c0470 100644
--- a/modules/hypernetworks/ui.py
+++ b/modules/hypernetworks/ui.py
@@ -8,8 +8,9 @@ import modules.textual_inversion.textual_inversion
 from modules import devices, sd_hijack, shared
 from modules.hypernetworks import hypernetwork
 
+keys = list(hypernetwork.HypernetworkModule.activation_dict.keys())
 
-def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
+def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False):
     # Remove illegal characters from name.
     name = "".join( x for x in name if (x.isalnum() or x in "._- "))
 
@@ -25,6 +26,7 @@ def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None,
         enable_sizes=[int(x) for x in enable_sizes],
         layer_structure=layer_structure,
         activation_func=activation_func,
+        weight_init=weight_init,
         add_layer_norm=add_layer_norm,
         use_dropout=use_dropout,
     )
diff --git a/modules/images.py b/modules/images.py
index 848ede75..7870b5b7 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -16,7 +16,7 @@ from PIL import Image, ImageFont, ImageDraw, PngImagePlugin
 from fonts.ttf import Roboto
 import string
 
-from modules import sd_samplers, shared
+from modules import sd_samplers, shared, script_callbacks
 from modules.shared import opts, cmd_opts
 
 LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
@@ -277,7 +277,7 @@ invalid_filename_chars = '<>:"/\\|?*\n'
 invalid_filename_prefix = ' '
 invalid_filename_postfix = ' .'
 re_nonletters = re.compile(r'[\s' + string.punctuation + ']+')
-re_pattern = re.compile(r"([^\[\]]+|\[([^]]+)]|[\[\]]*)")
+re_pattern = re.compile(r"(.*?)(?:\[([^\[\]]+)\]|$)")
 re_pattern_arg = re.compile(r"(.*)<([^>]*)>$")
 max_filename_part_length = 128
 
@@ -343,8 +343,11 @@ class FilenameGenerator:
     def datetime(self, *args):
         time_datetime = datetime.datetime.now()
 
-        time_format = args[0] if len(args) > 0 else self.default_time_format
-        time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
+        time_format = args[0] if len(args) > 0 and args[0] != "" else self.default_time_format
+        try:
+            time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
+        except pytz.exceptions.UnknownTimeZoneError as _:
+            time_zone = None
 
         time_zone_time = time_datetime.astimezone(time_zone)
         try:
@@ -359,9 +362,9 @@ class FilenameGenerator:
 
         for m in re_pattern.finditer(x):
             text, pattern = m.groups()
+            res += text
 
             if pattern is None:
-                res += text
                 continue
 
             pattern_args = []
@@ -382,12 +385,9 @@ class FilenameGenerator:
                     print(f"Error adding [{pattern}] to filename", file=sys.stderr)
                     print(traceback.format_exc(), file=sys.stderr)
 
-                if replacement is None:
-                    res += f'[{pattern}]'
-                else:
+                if replacement is not None:
                     res += str(replacement)
-
-                continue
+                    continue
 
             res += f'[{pattern}]'
 
@@ -451,17 +451,6 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     """
     namegen = FilenameGenerator(p, seed, prompt)
 
-    if extension == 'png' and opts.enable_pnginfo and info is not None:
-        pnginfo = PngImagePlugin.PngInfo()
-
-        if existing_info is not None:
-            for k, v in existing_info.items():
-                pnginfo.add_text(k, str(v))
-
-        pnginfo.add_text(pnginfo_section_name, info)
-    else:
-        pnginfo = None
-
     if save_to_dirs is None:
         save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)
 
@@ -474,8 +463,10 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     if forced_filename is None:
         if short_filename or seed is None:
             file_decoration = ""
-        else:
+        elif opts.save_to_dirs:
             file_decoration = opts.samples_filename_pattern or "[seed]"
+        else:
+            file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"
 
         add_number = opts.save_images_add_number or file_decoration == ''
 
@@ -487,19 +478,27 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
         if add_number:
             basecount = get_next_sequence_number(path, basename)
             fullfn = None
-            fullfn_without_extension = None
             for i in range(500):
                 fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
                 fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
-                fullfn_without_extension = os.path.join(path, f"{fn}{file_decoration}")
                 if not os.path.exists(fullfn):
                     break
         else:
             fullfn = os.path.join(path, f"{file_decoration}.{extension}")
-            fullfn_without_extension = os.path.join(path, file_decoration)
     else:
         fullfn = os.path.join(path, f"{forced_filename}.{extension}")
-        fullfn_without_extension = os.path.join(path, forced_filename)
+
+    pnginfo = existing_info or {}
+    if info is not None:
+        pnginfo[pnginfo_section_name] = info
+
+    params = script_callbacks.ImageSaveParams(image, p, fullfn, pnginfo)
+    script_callbacks.before_image_saved_callback(params)
+
+    image = params.image
+    fullfn = params.filename
+    info = params.pnginfo.get(pnginfo_section_name, None)
+    fullfn_without_extension, extension = os.path.splitext(params.filename)
 
     def exif_bytes():
         return piexif.dump({
@@ -508,12 +507,20 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
             },
         })
 
-    if extension.lower() in ("jpg", "jpeg", "webp"):
+    if extension.lower() == '.png':
+        pnginfo_data = PngImagePlugin.PngInfo()
+        for k, v in params.pnginfo.items():
+            pnginfo_data.add_text(k, str(v))
+
+        image.save(fullfn, quality=opts.jpeg_quality, pnginfo=pnginfo_data)
+
+    elif extension.lower() in (".jpg", ".jpeg", ".webp"):
         image.save(fullfn, quality=opts.jpeg_quality)
+
         if opts.enable_pnginfo and info is not None:
             piexif.insert(exif_bytes(), fullfn)
     else:
-        image.save(fullfn, quality=opts.jpeg_quality, pnginfo=pnginfo)
+        image.save(fullfn, quality=opts.jpeg_quality)
 
     target_side_length = 4000
     oversize = image.width > target_side_length or image.height > target_side_length
@@ -536,6 +543,8 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     else:
         txt_fullfn = None
 
+    script_callbacks.image_saved_callback(params)
+
     return fullfn, txt_fullfn
 
 
diff --git a/modules/img2img.py b/modules/img2img.py
index 8d9f7cf9..9c0cf23e 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -39,6 +39,8 @@ def process_batch(p, input_dir, output_dir, args):
             break
 
         img = Image.open(image)
+        # Use the EXIF orientation of photos taken by smartphones.
+        img = ImageOps.exif_transpose(img) 
         p.init_images = [img] * p.batch_size
 
         proc = modules.scripts.scripts_img2img.run(p, *args)
@@ -61,19 +63,25 @@ def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, pro
     is_batch = mode == 2
 
     if is_inpaint:
+        # Drawn mask
         if mask_mode == 0:
             image = init_img_with_mask['image']
             mask = init_img_with_mask['mask']
             alpha_mask = ImageOps.invert(image.split()[-1]).convert('L').point(lambda x: 255 if x > 0 else 0, mode='1')
             mask = ImageChops.lighter(alpha_mask, mask.convert('L')).convert('L')
             image = image.convert('RGB')
+        # Uploaded mask
         else:
             image = init_img_inpaint
             mask = init_mask_inpaint
+    # No mask
     else:
         image = init_img
         mask = None
 
+    # Use the EXIF orientation of photos taken by smartphones.
+    image = ImageOps.exif_transpose(image) 
+
     assert 0. <= denoising_strength <= 1., 'can only work with strength in [0.0, 1.0]'
 
     p = StableDiffusionProcessingImg2Img(
diff --git a/modules/processing.py b/modules/processing.py
index c61bbfbd..4efba946 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -77,9 +77,8 @@ def get_correct_sampler(p):
 class StableDiffusionProcessing():
     """
     The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing
-    
     """
-    def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str="", styles: List[str]=None, seed: int=-1, subseed: int=-1, subseed_strength: float=0, seed_resize_from_h: int=-1, seed_resize_from_w: int=-1, seed_enable_extras: bool=True, sampler_index: int=0, batch_size: int=1, n_iter: int=1, steps:int =50, cfg_scale:float=7.0, width:int=512, height:int=512, restore_faces:bool=False, tiling:bool=False, do_not_save_samples:bool=False, do_not_save_grid:bool=False, extra_generation_params: Dict[Any,Any]=None, overlay_images: Any=None, negative_prompt: str=None, eta: float =None, do_not_reload_embeddings: bool=False, denoising_strength: float = 0, ddim_discretize: str = "uniform", s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0):
+    def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str = "", styles: List[str] = None, seed: int = -1, subseed: int = -1, subseed_strength: float = 0, seed_resize_from_h: int = -1, seed_resize_from_w: int = -1, seed_enable_extras: bool = True, sampler_index: int = 0, batch_size: int = 1, n_iter: int = 1, steps: int = 50, cfg_scale: float = 7.0, width: int = 512, height: int = 512, restore_faces: bool = False, tiling: bool = False, do_not_save_samples: bool = False, do_not_save_grid: bool = False, extra_generation_params: Dict[Any, Any] = None, overlay_images: Any = None, negative_prompt: str = None, eta: float = None, do_not_reload_embeddings: bool = False, denoising_strength: float = 0, ddim_discretize: str = None, s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0, override_settings: Dict[str, Any] = None):
         self.sd_model = sd_model
         self.outpath_samples: str = outpath_samples
         self.outpath_grids: str = outpath_grids
@@ -109,13 +108,14 @@ class StableDiffusionProcessing():
         self.do_not_reload_embeddings = do_not_reload_embeddings
         self.paste_to = None
         self.color_corrections = None
-        self.denoising_strength: float = 0
+        self.denoising_strength: float = denoising_strength
         self.sampler_noise_scheduler_override = None
-        self.ddim_discretize = opts.ddim_discretize
+        self.ddim_discretize = ddim_discretize or opts.ddim_discretize
         self.s_churn = s_churn or opts.s_churn
         self.s_tmin = s_tmin or opts.s_tmin
         self.s_tmax = s_tmax or float('inf')  # not representable as a standard ui option
         self.s_noise = s_noise or opts.s_noise
+        self.override_settings = {k: v for k, v in (override_settings or {}).items() if k not in shared.restricted_opts}
 
         if not seed_enable_extras:
             self.subseed = -1
@@ -129,7 +129,6 @@ class StableDiffusionProcessing():
         self.all_seeds = None
         self.all_subseeds = None
 
-
     def init(self, all_prompts, all_seeds, all_subseeds):
         pass
 
@@ -351,6 +350,22 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
 
 
 def process_images(p: StableDiffusionProcessing) -> Processed:
+    stored_opts = {k: opts.data[k] for k in p.override_settings.keys()}
+
+    try:
+        for k, v in p.override_settings.items():
+            opts.data[k] = v  # we don't call onchange for simplicity which makes changing model, hypernet impossible
+
+        res = process_images_inner(p)
+
+    finally:
+        for k, v in stored_opts.items():
+            opts.data[k] = v
+
+    return res
+
+
+def process_images_inner(p: StableDiffusionProcessing) -> Processed:
     """this is the main loop that both txt2img and img2img use; it calls func_init once inside all the scopes and func_sample once per batch"""
 
     if type(p.prompt) == list:
diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index f46d3d9a..6ea58d61 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -1,37 +1,100 @@
+import sys
+import traceback
+from collections import namedtuple
+import inspect
 
+
+def report_exception(c, job):
+    print(f"Error executing callback {job} for {c.script}", file=sys.stderr)
+    print(traceback.format_exc(), file=sys.stderr)
+
+
+class ImageSaveParams:
+    def __init__(self, image, p, filename, pnginfo):
+        self.image = image
+        """the PIL image itself"""
+
+        self.p = p
+        """p object with processing parameters; either StableDiffusionProcessing or an object with same fields"""
+
+        self.filename = filename
+        """name of file that the image would be saved to"""
+
+        self.pnginfo = pnginfo
+        """dictionary with parameters for image's PNG info data; infotext will have the key 'parameters'"""
+
+
+ScriptCallback = namedtuple("ScriptCallback", ["script", "callback"])
 callbacks_model_loaded = []
 callbacks_ui_tabs = []
 callbacks_ui_settings = []
+callbacks_before_image_saved = []
+callbacks_image_saved = []
 
 
 def clear_callbacks():
     callbacks_model_loaded.clear()
     callbacks_ui_tabs.clear()
+    callbacks_ui_settings.clear()
+    callbacks_before_image_saved.clear()
+    callbacks_image_saved.clear()
 
 
 def model_loaded_callback(sd_model):
-    for callback in callbacks_model_loaded:
-        callback(sd_model)
+    for c in callbacks_model_loaded:
+        try:
+            c.callback(sd_model)
+        except Exception:
+            report_exception(c, 'model_loaded_callback')
 
 
 def ui_tabs_callback():
     res = []
     
-    for callback in callbacks_ui_tabs:
-        res += callback() or []
+    for c in callbacks_ui_tabs:
+        try:
+            res += c.callback() or []
+        except Exception:
+            report_exception(c, 'ui_tabs_callback')
 
     return res
 
 
 def ui_settings_callback():
-    for callback in callbacks_ui_settings:
-        callback()
+    for c in callbacks_ui_settings:
+        try:
+            c.callback()
+        except Exception:
+            report_exception(c, 'ui_settings_callback')
+
+
+def before_image_saved_callback(params: ImageSaveParams):
+    for c in callbacks_image_saved:
+        try:
+            c.callback(params)
+        except Exception:
+            report_exception(c, 'before_image_saved_callback')
+
+
+def image_saved_callback(params: ImageSaveParams):
+    for c in callbacks_image_saved:
+        try:
+            c.callback(params)
+        except Exception:
+            report_exception(c, 'image_saved_callback')
+
+
+def add_callback(callbacks, fun):
+    stack = [x for x in inspect.stack() if x.filename != __file__]
+    filename = stack[0].filename if len(stack) > 0 else 'unknown file'
+
+    callbacks.append(ScriptCallback(filename, fun))
 
 
 def on_model_loaded(callback):
     """register a function to be called when the stable diffusion model is created; the model is
     passed as an argument"""
-    callbacks_model_loaded.append(callback)
+    add_callback(callbacks_model_loaded, callback)
 
 
 def on_ui_tabs(callback):
@@ -44,10 +107,26 @@ def on_ui_tabs(callback):
     title is tab text displayed to user in the UI
     elem_id is HTML id for the tab
     """
-    callbacks_ui_tabs.append(callback)
+    add_callback(callbacks_ui_tabs, callback)
 
 
 def on_ui_settings(callback):
     """register a function to be called before UI settings are populated; add your settings
     by using shared.opts.add_option(shared.OptionInfo(...)) """
-    callbacks_ui_settings.append(callback)
+    add_callback(callbacks_ui_settings, callback)
+
+
+def on_before_image_saved(callback):
+    """register a function to be called before an image is saved to a file.
+    The callback is called with one argument:
+        - params: ImageSaveParams - parameters the image is to be saved with. You can change fields in this object.
+    """
+    add_callback(callbacks_before_image_saved, callback)
+
+
+def on_image_saved(callback):
+    """register a function to be called after an image is saved to a file.
+    The callback is called with one argument:
+        - params: ImageSaveParams - parameters the image was saved with. Changing fields in this object does nothing.
+    """
+    add_callback(callbacks_image_saved, callback)
diff --git a/modules/scunet_model.py b/modules/scunet_model.py
index 36a996bf..59532274 100644
--- a/modules/scunet_model.py
+++ b/modules/scunet_model.py
@@ -54,9 +54,8 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
         img = img[:, :, ::-1]
         img = np.moveaxis(img, 2, 0) / 255
         img = torch.from_numpy(img).float()
-        img = img.unsqueeze(0).to(device)
+        img = devices.mps_contiguous_to(img.unsqueeze(0), device)
 
-        img = img.to(device)
         with torch.no_grad():
             output = model(img)
         output = output.squeeze().float().cpu().clamp_(0, 1).numpy()
diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 0b408a70..3670b57d 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -228,7 +228,7 @@ class VanillaStableDiffusionSampler:
             unconditional_conditioning = {"c_concat": [image_conditioning], "c_crossattn": [unconditional_conditioning]}
             
             
-        samples = self.launch_sampling(steps, lambda: self.sampler.decode(x1, conditioning, t_enc, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning))
+        samples = self.launch_sampling(t_enc + 1, lambda: self.sampler.decode(x1, conditioning, t_enc, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning))
 
         return samples
 
@@ -429,7 +429,7 @@ class KDiffusionSampler:
         self.model_wrap_cfg.init_latent = x
         self.last_latent = x
 
-        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
+        samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
             'cond': conditioning, 
             'image_cond': image_conditioning, 
             'uncond': unconditional_conditioning, 
diff --git a/modules/shared.py b/modules/shared.py
index 76cbb1bd..1a9b8289 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -58,7 +58,7 @@ parser.add_argument("--opt-split-attention", action='store_true', help="force-en
 parser.add_argument("--opt-split-attention-invokeai", action='store_true', help="force-enables InvokeAI's cross-attention layer optimization. By default, it's on when cuda is unavailable.")
 parser.add_argument("--opt-split-attention-v1", action='store_true', help="enable older version of split attention optimization that does not consume all the VRAM it can find")
 parser.add_argument("--disable-opt-split-attention", action='store_true', help="force-disables cross-attention layer optimization")
-parser.add_argument("--use-cpu", nargs='+',choices=['all', 'sd', 'interrogate', 'gfpgan', 'bsrgan', 'esrgan', 'scunet', 'codeformer'], help="use CPU as torch device for specified modules", default=[], type=str.lower)
+parser.add_argument("--use-cpu", nargs='+',choices=['all', 'sd', 'interrogate', 'gfpgan', 'swinir', 'esrgan', 'scunet', 'codeformer'], help="use CPU as torch device for specified modules", default=[], type=str.lower)
 parser.add_argument("--listen", action='store_true', help="launch gradio with 0.0.0.0 as server name, allowing to respond to network requests")
 parser.add_argument("--port", type=int, help="launch gradio with given server port, you need root/admin rights for ports < 1024, defaults to 7860 if available", default=None)
 parser.add_argument("--show-negative-prompt", action='store_true', help="does not do anything", default=False)
@@ -84,7 +84,7 @@ parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load mod
 parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)
 
 cmd_opts = parser.parse_args()
-restricted_opts = [
+restricted_opts = {
     "samples_filename_pattern",
     "directories_filename_pattern",
     "outdir_samples",
@@ -94,10 +94,10 @@ restricted_opts = [
     "outdir_grids",
     "outdir_txt2img_grids",
     "outdir_save",
-]
+}
 
-devices.device, devices.device_interrogate, devices.device_gfpgan, devices.device_bsrgan, devices.device_esrgan, devices.device_scunet, devices.device_codeformer = \
-(devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'bsrgan', 'esrgan', 'scunet', 'codeformer'])
+devices.device, devices.device_interrogate, devices.device_gfpgan, devices.device_swinir, devices.device_esrgan, devices.device_scunet, devices.device_codeformer = \
+(devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'swinir', 'esrgan', 'scunet', 'codeformer'])
 
 device = devices.device
 weight_load_location = None if cmd_opts.lowram else "cpu"
diff --git a/modules/swinir_model.py b/modules/swinir_model.py
index baa02e3d..4253b66d 100644
--- a/modules/swinir_model.py
+++ b/modules/swinir_model.py
@@ -7,8 +7,8 @@ from PIL import Image
 from basicsr.utils.download_util import load_file_from_url
 from tqdm import tqdm
 
-from modules import modelloader
-from modules.shared import cmd_opts, opts, device
+from modules import modelloader, devices
+from modules.shared import cmd_opts, opts
 from modules.swinir_model_arch import SwinIR as net
 from modules.swinir_model_arch_v2 import Swin2SR as net2
 from modules.upscaler import Upscaler, UpscalerData
@@ -42,7 +42,7 @@ class UpscalerSwinIR(Upscaler):
         model = self.load_model(model_file)
         if model is None:
             return img
-        model = model.to(device)
+        model = model.to(devices.device_swinir)
         img = upscale(img, model)
         try:
             torch.cuda.empty_cache()
@@ -111,7 +111,7 @@ def upscale(
     img = img[:, :, ::-1]
     img = np.moveaxis(img, 2, 0) / 255
     img = torch.from_numpy(img).float()
-    img = img.unsqueeze(0).to(device)
+    img = devices.mps_contiguous_to(img.unsqueeze(0), devices.device_swinir)
     with torch.no_grad(), precision_scope("cuda"):
         _, _, h_old, w_old = img.size()
         h_pad = (h_old // window_size + 1) * window_size - h_old
@@ -139,8 +139,8 @@ def inference(img, model, tile, tile_overlap, window_size, scale):
     stride = tile - tile_overlap
     h_idx_list = list(range(0, h - tile, stride)) + [h - tile]
     w_idx_list = list(range(0, w - tile, stride)) + [w - tile]
-    E = torch.zeros(b, c, h * sf, w * sf, dtype=torch.half, device=device).type_as(img)
-    W = torch.zeros_like(E, dtype=torch.half, device=device)
+    E = torch.zeros(b, c, h * sf, w * sf, dtype=torch.half, device=devices.device_swinir).type_as(img)
+    W = torch.zeros_like(E, dtype=torch.half, device=devices.device_swinir)
 
     with tqdm(total=len(h_idx_list) * len(w_idx_list), desc="SwinIR tiles") as pbar:
         for h_idx in h_idx_list:
diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
new file mode 100644
index 00000000..9859974a
--- /dev/null
+++ b/modules/textual_inversion/autocrop.py
@@ -0,0 +1,341 @@
+import cv2
+import requests
+import os
+from collections import defaultdict
+from math import log, sqrt
+import numpy as np
+from PIL import Image, ImageDraw
+
+GREEN = "#0F0"
+BLUE = "#00F"
+RED = "#F00"
+
+
+def crop_image(im, settings):
+  """ Intelligently crop an image to the subject matter """
+
+  scale_by = 1
+  if is_landscape(im.width, im.height):
+    scale_by = settings.crop_height / im.height
+  elif is_portrait(im.width, im.height):
+    scale_by = settings.crop_width / im.width
+  elif is_square(im.width, im.height):
+    if is_square(settings.crop_width, settings.crop_height):
+      scale_by = settings.crop_width / im.width
+    elif is_landscape(settings.crop_width, settings.crop_height):
+      scale_by = settings.crop_width / im.width
+    elif is_portrait(settings.crop_width, settings.crop_height):
+      scale_by = settings.crop_height / im.height
+
+  im = im.resize((int(im.width * scale_by), int(im.height * scale_by)))
+  im_debug = im.copy()
+
+  focus = focal_point(im_debug, settings)
+
+  # take the focal point and turn it into crop coordinates that try to center over the focal
+  # point but then get adjusted back into the frame
+  y_half = int(settings.crop_height / 2)
+  x_half = int(settings.crop_width / 2)
+
+  x1 = focus.x - x_half
+  if x1 < 0:
+      x1 = 0
+  elif x1 + settings.crop_width > im.width:
+      x1 = im.width - settings.crop_width
+
+  y1 = focus.y - y_half
+  if y1 < 0:
+      y1 = 0
+  elif y1 + settings.crop_height > im.height:
+      y1 = im.height - settings.crop_height
+
+  x2 = x1 + settings.crop_width
+  y2 = y1 + settings.crop_height
+
+  crop = [x1, y1, x2, y2]
+
+  results = []
+
+  results.append(im.crop(tuple(crop)))
+
+  if settings.annotate_image:
+    d = ImageDraw.Draw(im_debug)
+    rect = list(crop)
+    rect[2] -= 1
+    rect[3] -= 1
+    d.rectangle(rect, outline=GREEN)
+    results.append(im_debug)
+    if settings.destop_view_image:
+      im_debug.show()
+
+  return results
+
+def focal_point(im, settings):
+    corner_points = image_corner_points(im, settings) if settings.corner_points_weight > 0 else []
+    entropy_points = image_entropy_points(im, settings) if settings.entropy_points_weight > 0 else []
+    face_points = image_face_points(im, settings) if settings.face_points_weight > 0 else []
+
+    pois = []
+
+    weight_pref_total = 0
+    if len(corner_points) > 0:
+      weight_pref_total += settings.corner_points_weight
+    if len(entropy_points) > 0:
+      weight_pref_total += settings.entropy_points_weight
+    if len(face_points) > 0:
+      weight_pref_total += settings.face_points_weight
+
+    corner_centroid = None
+    if len(corner_points) > 0:
+      corner_centroid = centroid(corner_points)
+      corner_centroid.weight = settings.corner_points_weight / weight_pref_total 
+      pois.append(corner_centroid)
+
+    entropy_centroid = None
+    if len(entropy_points) > 0:
+      entropy_centroid = centroid(entropy_points)
+      entropy_centroid.weight = settings.entropy_points_weight / weight_pref_total
+      pois.append(entropy_centroid)
+
+    face_centroid = None
+    if len(face_points) > 0:
+      face_centroid = centroid(face_points)
+      face_centroid.weight = settings.face_points_weight / weight_pref_total 
+      pois.append(face_centroid)
+
+    average_point = poi_average(pois, settings)
+
+    if settings.annotate_image:
+      d = ImageDraw.Draw(im)
+      max_size = min(im.width, im.height) * 0.07
+      if corner_centroid is not None:
+        color = BLUE
+        box = corner_centroid.bounding(max_size * corner_centroid.weight)
+        d.text((box[0], box[1]-15), "Edge: %.02f" % corner_centroid.weight, fill=color)
+        d.ellipse(box, outline=color)
+        if len(corner_points) > 1:
+          for f in corner_points:
+            d.rectangle(f.bounding(4), outline=color)
+      if entropy_centroid is not None:
+        color = "#ff0"
+        box = entropy_centroid.bounding(max_size * entropy_centroid.weight)
+        d.text((box[0], box[1]-15), "Entropy: %.02f" % entropy_centroid.weight, fill=color)
+        d.ellipse(box, outline=color)
+        if len(entropy_points) > 1:
+          for f in entropy_points:
+            d.rectangle(f.bounding(4), outline=color)
+      if face_centroid is not None:
+        color = RED
+        box = face_centroid.bounding(max_size * face_centroid.weight)
+        d.text((box[0], box[1]-15), "Face: %.02f" % face_centroid.weight, fill=color)
+        d.ellipse(box, outline=color)
+        if len(face_points) > 1:
+          for f in face_points:
+            d.rectangle(f.bounding(4), outline=color)
+
+      d.ellipse(average_point.bounding(max_size), outline=GREEN)
+      
+    return average_point
+
+
+def image_face_points(im, settings):
+    if settings.dnn_model_path is not None:
+      detector = cv2.FaceDetectorYN.create(
+          settings.dnn_model_path,
+          "",
+          (im.width, im.height),
+          0.9, # score threshold
+          0.3, # nms threshold
+          5000 # keep top k before nms
+      )
+      faces = detector.detect(np.array(im))
+      results = []
+      if faces[1] is not None:
+        for face in faces[1]:
+          x = face[0]
+          y = face[1]
+          w = face[2]
+          h = face[3]
+          results.append(
+            PointOfInterest(
+              int(x + (w * 0.5)), # face focus left/right is center
+              int(y + (h * 0.33)), # face focus up/down is close to the top of the head
+              size = w,
+              weight = 1/len(faces[1])
+            )
+          )
+      return results
+    else:
+      np_im = np.array(im)
+      gray = cv2.cvtColor(np_im, cv2.COLOR_BGR2GRAY)
+
+      tries = [
+        [ f'{cv2.data.haarcascades}haarcascade_eye.xml', 0.01 ],
+        [ f'{cv2.data.haarcascades}haarcascade_frontalface_default.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_profileface.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt2.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt_tree.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_eye_tree_eyeglasses.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_upperbody.xml', 0.05 ]
+      ]
+      for t in tries:
+        classifier = cv2.CascadeClassifier(t[0])
+        minsize = int(min(im.width, im.height) * t[1]) # at least N percent of the smallest side
+        try:
+          faces = classifier.detectMultiScale(gray, scaleFactor=1.1,
+            minNeighbors=7, minSize=(minsize, minsize), flags=cv2.CASCADE_SCALE_IMAGE)
+        except:
+          continue
+
+        if len(faces) > 0:
+          rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]
+          return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2, size=abs(r[0]-r[2]), weight=1/len(rects)) for r in rects]
+    return []
+
+
+def image_corner_points(im, settings):
+    grayscale = im.convert("L")
+
+    # naive attempt at preventing focal points from collecting at watermarks near the bottom
+    gd = ImageDraw.Draw(grayscale)
+    gd.rectangle([0, im.height*.9, im.width, im.height], fill="#999")
+
+    np_im = np.array(grayscale)
+
+    points = cv2.goodFeaturesToTrack(
+        np_im,
+        maxCorners=100,
+        qualityLevel=0.04,
+        minDistance=min(grayscale.width, grayscale.height)*0.06,
+        useHarrisDetector=False,
+    )
+
+    if points is None:
+        return []
+
+    focal_points = []
+    for point in points:
+      x, y = point.ravel()
+      focal_points.append(PointOfInterest(x, y, size=4, weight=1/len(points)))
+
+    return focal_points
+
+
+def image_entropy_points(im, settings):
+    landscape = im.height < im.width
+    portrait = im.height > im.width
+    if landscape:
+      move_idx = [0, 2]
+      move_max = im.size[0]
+    elif portrait:
+      move_idx = [1, 3]
+      move_max = im.size[1]
+    else:
+      return []
+
+    e_max = 0
+    crop_current = [0, 0, settings.crop_width, settings.crop_height]
+    crop_best = crop_current
+    while crop_current[move_idx[1]] < move_max:
+        crop = im.crop(tuple(crop_current))
+        e = image_entropy(crop)
+
+        if (e > e_max):
+          e_max = e
+          crop_best = list(crop_current)
+
+        crop_current[move_idx[0]] += 4
+        crop_current[move_idx[1]] += 4
+
+    x_mid = int(crop_best[0] + settings.crop_width/2)
+    y_mid = int(crop_best[1] + settings.crop_height/2)
+
+    return [PointOfInterest(x_mid, y_mid, size=25, weight=1.0)]
+
+
+def image_entropy(im):
+    # greyscale image entropy
+    # band = np.asarray(im.convert("L"))
+    band = np.asarray(im.convert("1"), dtype=np.uint8)
+    hist, _ = np.histogram(band, bins=range(0, 256))
+    hist = hist[hist > 0]
+    return -np.log2(hist / hist.sum()).sum()
+
+def centroid(pois):
+  x = [poi.x for poi in pois]
+  y = [poi.y for poi in pois]
+  return PointOfInterest(sum(x)/len(pois), sum(y)/len(pois))
+
+
+def poi_average(pois, settings):
+    weight = 0.0
+    x = 0.0
+    y = 0.0
+    for poi in pois:
+        weight += poi.weight
+        x += poi.x * poi.weight
+        y += poi.y * poi.weight
+    avg_x = round(x / weight)
+    avg_y = round(y / weight)
+
+    return PointOfInterest(avg_x, avg_y)
+
+
+def is_landscape(w, h):
+  return w > h
+
+
+def is_portrait(w, h):
+  return h > w
+
+
+def is_square(w, h):
+  return w == h
+
+
+def download_and_cache_models(dirname):
+  download_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'
+  model_file_name = 'face_detection_yunet.onnx'
+
+  if not os.path.exists(dirname):
+    os.makedirs(dirname)
+
+  cache_file = os.path.join(dirname, model_file_name)
+  if not os.path.exists(cache_file):
+    print(f"downloading face detection model from '{download_url}' to '{cache_file}'")
+    response = requests.get(download_url)
+    with open(cache_file, "wb") as f:
+      f.write(response.content)
+
+  if os.path.exists(cache_file):
+    return cache_file
+  return None
+
+
+class PointOfInterest:
+  def __init__(self, x, y, weight=1.0, size=10):
+    self.x = x
+    self.y = y
+    self.weight = weight
+    self.size = size
+
+  def bounding(self, size):
+    return [
+      self.x - size//2,
+      self.y - size//2,
+      self.x + size//2,
+      self.y + size//2
+    ]
+
+
+class Settings:
+  def __init__(self, crop_width=512, crop_height=512, corner_points_weight=0.5, entropy_points_weight=0.5, face_points_weight=0.5, annotate_image=False, dnn_model_path=None):
+    self.crop_width = crop_width
+    self.crop_height = crop_height
+    self.corner_points_weight = corner_points_weight
+    self.entropy_points_weight = entropy_points_weight
+    self.face_points_weight = face_points_weight
+    self.annotate_image = annotate_image
+    self.destop_view_image = False
+    self.dnn_model_path = dnn_model_path
\ No newline at end of file
diff --git a/modules/textual_inversion/preprocess.py b/modules/textual_inversion/preprocess.py
index 33eaddb6..e13b1894 100644
--- a/modules/textual_inversion/preprocess.py
+++ b/modules/textual_inversion/preprocess.py
@@ -7,12 +7,14 @@ import tqdm
 import time
 
 from modules import shared, images
+from modules.paths import models_path
 from modules.shared import opts, cmd_opts
+from modules.textual_inversion import autocrop
 if cmd_opts.deepdanbooru:
     import modules.deepbooru as deepbooru
 
 
-def preprocess(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2):
+def preprocess(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_focal_crop=False, process_focal_crop_face_weight=0.9, process_focal_crop_entropy_weight=0.3, process_focal_crop_edges_weight=0.5, process_focal_crop_debug=False):
     try:
         if process_caption:
             shared.interrogator.load()
@@ -22,7 +24,7 @@ def preprocess(process_src, process_dst, process_width, process_height, preproce
             db_opts[deepbooru.OPT_INCLUDE_RANKS] = False
             deepbooru.create_deepbooru_process(opts.interrogate_deepbooru_score_threshold, db_opts)
 
-        preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru, split_threshold, overlap_ratio)
+        preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru, split_threshold, overlap_ratio, process_focal_crop, process_focal_crop_face_weight, process_focal_crop_entropy_weight, process_focal_crop_edges_weight, process_focal_crop_debug)
 
     finally:
 
@@ -34,7 +36,7 @@ def preprocess(process_src, process_dst, process_width, process_height, preproce
 
 
 
-def preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2):
+def preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_focal_crop=False, process_focal_crop_face_weight=0.9, process_focal_crop_entropy_weight=0.3, process_focal_crop_edges_weight=0.5, process_focal_crop_debug=False):
     width = process_width
     height = process_height
     src = os.path.abspath(process_src)
@@ -113,6 +115,7 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
                 splitted = image.crop((0, y, to_w, y + to_h))
             yield splitted
 
+
     for index, imagefile in enumerate(tqdm.tqdm(files)):
         subindex = [0]
         filename = os.path.join(src, imagefile)
@@ -137,11 +140,36 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
             ratio = (img.height * width) / (img.width * height)
             inverse_xy = True
 
+        process_default_resize = True
+
         if process_split and ratio < 1.0 and ratio <= split_threshold:
             for splitted in split_pic(img, inverse_xy):
                 save_pic(splitted, index, existing_caption=existing_caption)
-        else:
+            process_default_resize = False
+
+        if process_focal_crop and img.height != img.width:
+
+            dnn_model_path = None
+            try:
+                dnn_model_path = autocrop.download_and_cache_models(os.path.join(models_path, "opencv"))
+            except Exception as e:
+                print("Unable to load face detection model for auto crop selection. Falling back to lower quality haar method.", e)
+
+            autocrop_settings = autocrop.Settings(
+                crop_width = width,
+                crop_height = height,
+                face_points_weight = process_focal_crop_face_weight,
+                entropy_points_weight = process_focal_crop_entropy_weight,
+                corner_points_weight = process_focal_crop_edges_weight,
+                annotate_image = process_focal_crop_debug,
+                dnn_model_path = dnn_model_path,
+            )
+            for focal in autocrop.crop_image(img, autocrop_settings):
+                save_pic(focal, index, existing_caption=existing_caption)
+            process_default_resize = False
+
+        if process_default_resize:
             img = images.resize_image(1, img, width, height)
             save_pic(img, index, existing_caption=existing_caption)
 
-        shared.state.nextjob()
+        shared.state.nextjob()
\ No newline at end of file
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 529ed3e2..4fcebe74 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -10,7 +10,7 @@ import csv
 
 from PIL import Image, PngImagePlugin
 
-from modules import shared, devices, sd_hijack, processing, sd_models
+from modules import shared, devices, sd_hijack, processing, sd_models, images
 import modules.textual_inversion.dataset
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
 
@@ -157,6 +157,9 @@ def create_embedding(name, num_vectors_per_token, overwrite_old, init_text='*'):
     cond_model = shared.sd_model.cond_stage_model
     embedding_layer = cond_model.wrapped.transformer.text_model.embeddings
 
+    with devices.autocast():
+        cond_model([""])  # will send cond model to GPU if lowvram/medvram is active
+
     ids = cond_model.tokenizer(init_text, max_length=num_vectors_per_token, return_tensors="pt", add_special_tokens=False)["input_ids"]
     embedded = embedding_layer.token_embedding.wrapped(ids.to(devices.device)).squeeze(0)
     vec = torch.zeros((num_vectors_per_token, embedded.shape[1]), device=devices.device)
@@ -164,6 +167,8 @@ def create_embedding(name, num_vectors_per_token, overwrite_old, init_text='*'):
     for i in range(num_vectors_per_token):
         vec[i] = embedded[i * int(embedded.shape[0]) // num_vectors_per_token]
 
+    # Remove illegal characters from name.
+    name = "".join( x for x in name if (x.isalnum() or x in "._- "))
     fn = os.path.join(shared.cmd_opts.embeddings_dir, f"{name}.pt")
     if not overwrite_old:
         assert not os.path.exists(fn), f"file {fn} already exists"
@@ -244,6 +249,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
 
     last_saved_file = "<none>"
     last_saved_image = "<none>"
+    forced_filename = "<none>"
     embedding_yet_to_be_embedded = False
 
     ititial_step = embedding.step or 0
@@ -283,7 +289,9 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
         pbar.set_description(f"[Epoch {epoch_num}: {epoch_step}/{len(ds)}]loss: {losses.mean():.7f}")
 
         if embedding.step > 0 and embedding_dir is not None and embedding.step % save_embedding_every == 0:
-            last_saved_file = os.path.join(embedding_dir, f'{embedding_name}-{embedding.step}.pt')
+            # Before saving, change name to match current checkpoint.
+            embedding.name = f'{embedding_name}-{embedding.step}'
+            last_saved_file = os.path.join(embedding_dir, f'{embedding.name}.pt')
             embedding.save(last_saved_file)
             embedding_yet_to_be_embedded = True
 
@@ -293,8 +301,8 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
         })
 
         if embedding.step > 0 and images_dir is not None and embedding.step % create_image_every == 0:
-            last_saved_image = os.path.join(images_dir, f'{embedding_name}-{embedding.step}.png')
-
+            forced_filename = f'{embedding_name}-{embedding.step}'
+            last_saved_image = os.path.join(images_dir, forced_filename)
             p = processing.StableDiffusionProcessingTxt2Img(
                 sd_model=shared.sd_model,
                 do_not_save_grid=True,
@@ -350,8 +358,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
                 captioned_image.save(last_saved_image_chunks, "PNG", pnginfo=info)
                 embedding_yet_to_be_embedded = False
 
-            image.save(last_saved_image)
-
+            last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
             last_saved_image += f", prompt: {preview_text}"
 
         shared.state.job_no = embedding.step
@@ -371,6 +378,9 @@ Last saved image: {html.escape(last_saved_image)}<br/>
     embedding.sd_checkpoint = checkpoint.hash
     embedding.sd_checkpoint_name = checkpoint.model_name
     embedding.cached_checksum = None
+    # Before saving for the last time, change name back to base name (as opposed to the save_embedding_every step-suffixed naming convention).
+    embedding.name = embedding_name
+    filename = os.path.join(shared.cmd_opts.embedding_dir, f'{embedding.name}.pt')
     embedding.save(filename)
 
     return embedding, filename
diff --git a/modules/ui.py b/modules/ui.py
index 03528968..0a63e357 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1238,7 +1238,8 @@ def create_ui(wrap_gradio_gpu_call):
                     new_hypernetwork_name = gr.Textbox(label="Name")
                     new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
                     new_hypernetwork_layer_structure = gr.Textbox("1, 2, 1", label="Enter hypernetwork layer structure", placeholder="1st and last digit must be 1. ex:'1, 2, 1'")
-                    new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=["linear", "relu", "leakyrelu", "elu", "swish"])
+                    new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=modules.hypernetworks.ui.keys)
+                    new_hypernetwork_initialization_option = gr.Dropdown(value = "Normal", label="Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended", choices=["Normal", "KaimingUniform", "KaimingNormal", "XavierUniform", "XavierNormal"])
                     new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization")
                     new_hypernetwork_use_dropout = gr.Checkbox(label="Use dropout")
                     overwrite_old_hypernetwork = gr.Checkbox(value=False, label="Overwrite Old Hypernetwork")
@@ -1260,6 +1261,7 @@ def create_ui(wrap_gradio_gpu_call):
                     with gr.Row():
                         process_flip = gr.Checkbox(label='Create flipped copies')
                         process_split = gr.Checkbox(label='Split oversized images')
+                        process_focal_crop = gr.Checkbox(label='Auto focal point crop')
                         process_caption = gr.Checkbox(label='Use BLIP for caption')
                         process_caption_deepbooru = gr.Checkbox(label='Use deepbooru for caption', visible=True if cmd_opts.deepdanbooru else False)
 
@@ -1267,6 +1269,12 @@ def create_ui(wrap_gradio_gpu_call):
                         process_split_threshold = gr.Slider(label='Split image threshold', value=0.5, minimum=0.0, maximum=1.0, step=0.05)
                         process_overlap_ratio = gr.Slider(label='Split image overlap ratio', value=0.2, minimum=0.0, maximum=0.9, step=0.05)
 
+                    with gr.Row(visible=False) as process_focal_crop_row:
+                        process_focal_crop_face_weight = gr.Slider(label='Focal point face weight', value=0.9, minimum=0.0, maximum=1.0, step=0.05)
+                        process_focal_crop_entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.15, minimum=0.0, maximum=1.0, step=0.05)
+                        process_focal_crop_edges_weight = gr.Slider(label='Focal point edges weight', value=0.5, minimum=0.0, maximum=1.0, step=0.05)
+                        process_focal_crop_debug = gr.Checkbox(label='Create debug image')
+
                     with gr.Row():
                         with gr.Column(scale=3):
                             gr.HTML(value="")
@@ -1280,6 +1288,12 @@ def create_ui(wrap_gradio_gpu_call):
                         outputs=[process_split_extra_row],
                     )
 
+                    process_focal_crop.change(
+                        fn=lambda show: gr_show(show),
+                        inputs=[process_focal_crop],
+                        outputs=[process_focal_crop_row],
+                    )
+
                 with gr.Tab(label="Train"):
                     gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images <a href=\"https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\" style=\"font-weight:bold;\">[wiki]</a></p>")
                     with gr.Row():
@@ -1342,6 +1356,7 @@ def create_ui(wrap_gradio_gpu_call):
                 overwrite_old_hypernetwork,
                 new_hypernetwork_layer_structure,
                 new_hypernetwork_activation_func,
+                new_hypernetwork_initialization_option,
                 new_hypernetwork_add_layer_norm,
                 new_hypernetwork_use_dropout
             ],
@@ -1367,6 +1382,11 @@ def create_ui(wrap_gradio_gpu_call):
                 process_caption_deepbooru,
                 process_split_threshold,
                 process_overlap_ratio,
+                process_focal_crop,
+                process_focal_crop_face_weight,
+                process_focal_crop_entropy_weight,
+                process_focal_crop_edges_weight,
+                process_focal_crop_debug,
             ],
             outputs=[
                 ti_output,
diff --git a/requirements.txt b/requirements.txt
index da1969cf..75b37c4f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -8,6 +8,8 @@ gradio==3.5
 invisible-watermark
 numpy
 omegaconf
+opencv-python
+requests
 piexif
 Pillow
 pytorch_lightning
diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py
index 1266be6f..1be22960 100644
--- a/scripts/prompts_from_file.py
+++ b/scripts/prompts_from_file.py
@@ -1,6 +1,7 @@
 import copy
 import math
 import os
+import random
 import sys
 import traceback
 import shlex
@@ -81,32 +82,34 @@ def cmdargs(line):
     return res
 
 
+def load_prompt_file(file):
+    if (file is None):
+        lines = []
+    else:
+        lines = [x.strip() for x in file.decode('utf8', errors='ignore').split("\n")]
+
+    return None, "\n".join(lines), gr.update(lines=7)
+
 class Script(scripts.Script):
     def title(self):
         return "Prompts from file or textbox"
 
     def ui(self, is_img2img):
-        # This checkbox would look nicer as two tabs, but there are two problems:
-        # 1) There is a bug in Gradio 3.3 that prevents visibility from working on Tabs
-        # 2) Even with Gradio 3.3.1, returning a control (like Tabs) that can't be used as input
-        #    causes a AttributeError: 'Tabs' object has no attribute 'preprocess' assert,
-        #    due to the way Script assumes all controls returned can be used as inputs.
-        # Therefore, there's no good way to use grouping components right now,
-        # so we will use a checkbox! :)
-        checkbox_txt = gr.Checkbox(label="Show Textbox", value=False)
-        file = gr.File(label="File with inputs", type='bytes')
-        prompt_txt = gr.TextArea(label="Prompts")
-        checkbox_txt.change(fn=lambda x: [gr.File.update(visible = not x), gr.TextArea.update(visible = x)], inputs=[checkbox_txt], outputs=[file, prompt_txt])
-        return [checkbox_txt, file, prompt_txt]
+        checkbox_iterate = gr.Checkbox(label="Iterate seed every line", value=False)
 
-    def on_show(self, checkbox_txt, file, prompt_txt):
-        return [ gr.Checkbox.update(visible = True), gr.File.update(visible = not checkbox_txt), gr.TextArea.update(visible = checkbox_txt) ]
+        prompt_txt = gr.Textbox(label="List of prompt inputs", lines=1)
+        file = gr.File(label="Upload prompt inputs", type='bytes')
 
-    def run(self, p, checkbox_txt, data: bytes, prompt_txt: str):
-        if checkbox_txt:
-            lines = [x.strip() for x in prompt_txt.splitlines()]
-        else:
-            lines = [x.strip() for x in data.decode('utf8', errors='ignore').split("\n")]
+        file.change(fn=load_prompt_file, inputs=[file], outputs=[file, prompt_txt, prompt_txt])
+
+        # We start at one line. When the text changes, we jump to seven lines, or two lines if no \n.
+        # We don't shrink back to 1, because that causes the control to ignore [enter], and it may
+        # be unclear to the user that shift-enter is needed.
+        prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt])
+        return [checkbox_iterate, file, prompt_txt]
+
+    def run(self, p, checkbox_iterate, file, prompt_txt: str):
+        lines = [x.strip() for x in prompt_txt.splitlines()]
         lines = [x for x in lines if len(x) > 0]
 
         p.do_not_save_grid = True
@@ -134,6 +137,9 @@ class Script(scripts.Script):
             jobs.append(args)
 
         print(f"Will process {len(lines)} lines in {job_count} jobs.")
+        if (checkbox_iterate and p.seed == -1):
+            p.seed = int(random.randrange(4294967294))
+
         state.job_count = job_count
 
         images = []
@@ -146,5 +152,9 @@ class Script(scripts.Script):
 
             proc = process_images(copy_p)
             images += proc.images
+            
+            if (checkbox_iterate):
+                p.seed = p.seed + (p.batch_size * p.n_iter)
 
-        return Processed(p, images, p.seed, "")
+
+        return Processed(p, images, p.seed, "")
\ No newline at end of file
diff --git a/style.css b/style.css
index 26ae36a5..13a9fb07 100644
--- a/style.css
+++ b/style.css
@@ -515,3 +515,77 @@ img2maskimg, #img2maskimg > .h-60, #img2maskimg > .h-60 > div, #img2maskimg > .h
     max-height: 480px !important;
     min-height: 480px !important;
 }
+
+/* The following handles localization for right-to-left (RTL) languages like Arabic.
+The rtl media type will only be activated by the logic in javascript/localization.js.
+If you change anything above, you need to make sure it is RTL compliant by just running
+your changes through converters like https://cssjanus.github.io/ or https://rtlcss.com/.
+Then, you will need to add the RTL counterpart only if needed in the rtl section below.*/
+@media rtl {
+    /* this part was manualy added */
+    :host {
+        direction: rtl;
+    }
+    .output-html:has(.performance), .gr-text-input {
+        direction: ltr;
+    }
+    .gr-radio, .gr-checkbox{
+        margin-left: 0.25em;
+    }
+
+    /* this part was automatically generated with few manual modifications */
+    .performance .time {
+        margin-right: unset;
+        margin-left: 0;
+    }
+    .justify-center.overflow-x-scroll {
+        justify-content: right;
+    }
+    .justify-center.overflow-x-scroll button:first-of-type {
+        margin-left: unset;
+        margin-right: auto;
+    }
+    .justify-center.overflow-x-scroll button:last-of-type {
+        margin-right: unset;
+        margin-left: auto;
+    }
+    #settings fieldset span.text-gray-500, #settings .gr-block.gr-box span.text-gray-500, #settings label.block span{
+        margin-right: unset;
+        margin-left: 8em;
+    }
+    #txt2img_progressbar, #img2img_progressbar, #ti_progressbar{
+        right: unset;
+        left: 0;
+    }
+    .progressDiv .progress{
+        padding: 0 0 0 8px;
+        text-align: left;
+    }
+    #lightboxModal{
+        left: unset;
+        right: 0;
+    }
+    .modalPrev, .modalNext{
+        border-radius: 3px 0 0 3px;
+    }
+    .modalNext {
+        right: unset;
+        left: 0;
+        border-radius: 0 3px 3px 0;
+    }
+    #imageARPreview{
+        left:unset;
+        right:0px;
+    }
+    #txt2img_skip, #img2img_skip{
+        right: unset;
+        left: 0px;
+    }
+    #context-menu{
+        box-shadow:-1px 1px 2px #CE6400;
+    }
+    .gr-box > div > div > input.gr-text-input{
+        right: unset;
+        left: 0.5em;
+    }
+}