stable-diffusion-webui/script.js

103 lines
4.7 KiB
JavaScript
Raw Normal View History

titles = {
"Sampling steps": "How many times to imptove the generated image itratively; higher values take longer; very low values can produce bad results",
"Sampling method": "Which algorithm to use to produce the image",
"GFPGAN": "Restore low quality faces using GFPGAN neural network",
"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",
"DDIM": "Denoising Diffusion Implicit Models - best at inpainting",
2022-09-03 14:21:15 +00:00
"Batch count": "How many batches of images to create",
"Batch size": "How many image to create in a single batch",
"CFG Scale": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",
"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",
"Inpaint a part of image": "Draw a mask over an image, and the script will regenerate the masked area with content according to prompt",
"Loopback": "Process an image, use it as an input, repeat. Batch count determings number of iterations.",
"SD upscale": "Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back",
"Just resize": "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.",
"Crop and resize": "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.",
"Resize and fill": "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.",
"Mask blur": "How much to blur the mask before processing, in pixels.",
"Masked content": "What to put inside the masked area before processing it with Stable Diffusion.",
"fill": "fill it with colors of the image",
"original": "keep whatever was there originally",
"latent noise": "fill it with latent space noise",
"latent nothing": "fill it with latent space zeroes",
"Inpaint at full resolution": "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image",
"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.",
"Interrupt": "Stop processing images and return any results accumulated so far.",
"Save": "Write image to a directory (default - log/images) and generation parameters into csv file.",
2022-09-03 14:21:15 +00:00
"X values": "Separate values for X axis using commas.",
"Y values": "Separate values for Y axis using commas.",
"None": "Do not do anything special",
"Prompt matrix": "Separate prompts into parts using vertical pipe character (|) and the script will create a picture for every combination of them (except for the first part, which will be present in all combinations)",
"X/Y Plot": "Create a grid where images will have different parameters. Use inputs below to specify which parameterswill be shared by columns and rows",
"Custom code": "Run python code. Advanced user only. Must run program with --allow-code for this to work",
"Prompt S/R": "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others",
}
function gradioApp(){
return document.getElementsByTagName('gradio-app')[0].shadowRoot;
}
function addTitles(root){
2022-09-03 14:21:15 +00:00
root.querySelectorAll('span, button, select').forEach(function(span){
tooltip = titles[span.textContent];
2022-09-03 14:21:15 +00:00
if(!tooltip){
tooltip = titles[span.value];
}
if(tooltip){
span.title = tooltip;
}
})
2022-09-03 14:21:15 +00:00
root.querySelectorAll('select').forEach(function(select){
if (select.onchange != null) return;
select.onchange = function(){
select.title = titles[select.value] || "";
}
})
}
document.addEventListener("DOMContentLoaded", function() {
var mutationObserver = new MutationObserver(function(m){
addTitles(gradioApp());
});
mutationObserver.observe( gradioApp(), { childList:true, subtree:true })
});
function selected_gallery_index(){
var gr = gradioApp()
var buttons = gradioApp().querySelectorAll(".gallery-item")
var button = gr.querySelector(".gallery-item.\\!ring-2")
var result = -1
buttons.forEach(function(v, i){ if(v==button) { result = i } })
return result
}
function extract_image_from_gallery(gallery){
if(gallery.length == 1){
return gallery[0]
}
index = selected_gallery_index()
if (index < 0 || index >= gallery.length){
return []
}
return gallery[index];
}