54 lines
3.1 KiB
JavaScript
54 lines
3.1 KiB
JavaScript
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console.log("running")
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titles = {
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"Sampling steps": "How many times to imptove the generated image itratively; higher values take longer; very low values can produce bad results",
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"Sampling method": "Which algorithm to use to produce the image",
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"GFPGAN": "Restore low quality faces using GFPGAN neural network",
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"Euler a": "Euler Ancestral - very creative, each can get acompletely different pictures depending on step count, setting seps tohigher than 30-40 does not help",
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"DDIM": "Denoising Diffusion Implicit Models - best at inpainting",
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"Prompt matrix": "Separate prompts into part using vertical pipe character (|) and the script will create a picture for every combination of them (except for first part, which will be present in all combinations)",
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"Batch count": "How many batches of images to create",
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"Batch size": "How many image to create in a single batch",
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"CFG Scale": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",
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"Seed": "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",
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"Inpaint a part of image": "Draw a mask over an image, and the script will regenerate the masked area with content according to prompt",
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"Loopback": "Process an image, use it as an input, repeat. Batch count determings number of iterations.",
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"SD upscale": "Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back",
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"Just resize": "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.",
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"Crop and resize": "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.",
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"Resize and fill": "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.",
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"Mask blur": "How much to blur the mask before processing, in pixels.",
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"Masked content": "What to put inside the masked area before processing it with Stable Diffusion.",
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"fill": "fill it with colors of the image",
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"original": "keep whatever was there originally",
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"latent noise": "fill it with latent space noise",
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"latent nothing": "fill it with latent space zeroes",
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"Inpaint at full resolution": "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image",
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"Denoising Strength": "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.",
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}
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function gradioApp(){
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return document.getElementsByTagName('gradio-app')[0];
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}
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function addTitles(root){
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root.querySelectorAll('span').forEach(function(span){
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tooltip = titles[span.textContent];
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if(tooltip){
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span.title = tooltip;
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}
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})
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}
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document.addEventListener("DOMContentLoaded", function() {
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var mutationObserver = new MutationObserver(function(m){
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addTitles(gradioApp().shadowRoot);
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});
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mutationObserver.observe( gradioApp().shadowRoot, { childList:true, subtree:true })
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});
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