add a slider for default value of added extra networks
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78f59a4e01
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@ -1,3 +1,4 @@
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import json
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import os
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import os
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import lora
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import lora
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@ -26,7 +27,7 @@ class ExtraNetworksPageLora(ui_extra_networks.ExtraNetworksPage):
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"name": name,
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"name": name,
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"filename": path,
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"filename": path,
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"preview": preview,
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"preview": preview,
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"prompt": f"<lora:{name}:1.0>",
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"prompt": json.dumps(f"<lora:{name}:") + " + opts.extra_networks_default_multiplier + " + json.dumps(">"),
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"local_preview": path + ".png",
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"local_preview": path + ".png",
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}
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}
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@ -107,7 +107,8 @@ titles = {
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"Hires steps": "Number of sampling steps for upscaled picture. If 0, uses same as for original.",
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"Hires steps": "Number of sampling steps for upscaled picture. If 0, uses same as for original.",
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"Upscale by": "Adjusts the size of the image by multiplying the original width and height by the selected value. Ignored if either Resize width to or Resize height to are non-zero.",
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"Upscale by": "Adjusts the size of the image by multiplying the original width and height by the selected value. Ignored if either Resize width to or Resize height to are non-zero.",
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"Resize width to": "Resizes image to this width. If 0, width is inferred from either of two nearby sliders.",
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"Resize width to": "Resizes image to this width. If 0, width is inferred from either of two nearby sliders.",
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"Resize height to": "Resizes image to this height. If 0, height is inferred from either of two nearby sliders."
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"Resize height to": "Resizes image to this height. If 0, height is inferred from either of two nearby sliders.",
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"Multiplier for extra networks": "When adding extra network such as Hypernetwork or Lora to prompt, use this multiplier for it."
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}
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}
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@ -398,7 +398,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
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"sd_vae": OptionInfo("Automatic", "SD VAE", gr.Dropdown, lambda: {"choices": ["Automatic", "None"] + list(sd_vae.vae_dict)}, refresh=sd_vae.refresh_vae_list),
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"sd_vae": OptionInfo("Automatic", "SD VAE", gr.Dropdown, lambda: {"choices": ["Automatic", "None"] + list(sd_vae.vae_dict)}, refresh=sd_vae.refresh_vae_list),
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"sd_vae_as_default": OptionInfo(True, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"),
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"sd_vae_as_default": OptionInfo(True, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"),
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"inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
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"inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
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"initial_noise_multiplier": OptionInfo(1.0, "Noise multiplier for img2img", gr.Slider, {"minimum": 0.5, "maximum": 1.5, "step": 0.01 }),
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"initial_noise_multiplier": OptionInfo(1.0, "Noise multiplier for img2img", gr.Slider, {"minimum": 0.5, "maximum": 1.5, "step": 0.01}),
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"img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
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"img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
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"img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),
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"img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),
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"img2img_background_color": OptionInfo("#ffffff", "With img2img, fill image's transparent parts with this color.", ui_components.FormColorPicker, {}),
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"img2img_background_color": OptionInfo("#ffffff", "With img2img, fill image's transparent parts with this color.", ui_components.FormColorPicker, {}),
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@ -406,7 +406,8 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
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"enable_emphasis": OptionInfo(True, "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention"),
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"enable_emphasis": OptionInfo(True, "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention"),
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"enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
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"enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
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"comma_padding_backtrack": OptionInfo(20, "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1 }),
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"comma_padding_backtrack": OptionInfo(20, "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1 }),
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'CLIP_stop_at_last_layers': OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),
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"CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),
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"extra_networks_default_multiplier": OptionInfo(1.0, "Multiplier for extra networks", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
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}))
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}))
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options_templates.update(options_section(('compatibility', "Compatibility"), {
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options_templates.update(options_section(('compatibility', "Compatibility"), {
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@ -54,7 +54,7 @@ class ExtraNetworksPage:
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args = {
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args = {
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"preview_html": "style='background-image: url(" + json.dumps(preview) + ")'" if preview else '',
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"preview_html": "style='background-image: url(" + json.dumps(preview) + ")'" if preview else '',
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"prompt": json.dumps(item["prompt"]),
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"prompt": item["prompt"],
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"tabname": json.dumps(tabname),
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"tabname": json.dumps(tabname),
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"local_preview": json.dumps(item["local_preview"]),
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"local_preview": json.dumps(item["local_preview"]),
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"name": item["name"],
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"name": item["name"],
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@ -1,3 +1,4 @@
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import json
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import os
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import os
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from modules import shared, ui_extra_networks
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from modules import shared, ui_extra_networks
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@ -25,7 +26,7 @@ class ExtraNetworksPageHypernetworks(ui_extra_networks.ExtraNetworksPage):
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"name": name,
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"name": name,
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"filename": path,
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"filename": path,
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"preview": preview,
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"preview": preview,
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"prompt": f"<hypernet:{name}:1.0>",
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"prompt": json.dumps(f"<hypernet:{name}:") + " + opts.extra_networks_default_multiplier + " + json.dumps(">"),
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"local_preview": path + ".png",
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"local_preview": path + ".png",
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}
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}
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