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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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eslint the merged code
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@ -3,15 +3,15 @@
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var titles = {
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"Sampling steps": "How many times to improve the generated image iteratively; 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 a completely different picture depending on step count, setting steps higher than 30-40 does not help",
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"DDIM": "Denoising Diffusion Implicit Models - best at inpainting",
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"UniPC": "Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models",
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"DPM adaptive": "Ignores step count - uses a number of steps determined by the CFG and resolution",
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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 a completely different picture depending on step count, setting steps higher than 30-40 does not help",
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"DDIM": "Denoising Diffusion Implicit Models - best at inpainting",
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"UniPC": "Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models",
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"DPM adaptive": "Ignores step count - uses a number of steps determined by the CFG and resolution",
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"\u{1F4D0}": "Auto detect size from img2img",
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"Batch count": "How many batches of images to create (has no impact on generation performance or VRAM usage)",
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"Batch size": "How many image to create in a single batch (increases generation performance at cost of higher VRAM usage)",
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"Batch count": "How many batches of images to create (has no impact on generation performance or VRAM usage)",
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"Batch size": "How many image to create in a single batch (increases generation performance at cost of higher VRAM usage)",
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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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"\u{1f3b2}\ufe0f": "Set seed to -1, which will cause a new random number to be used every time",
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@ -116,53 +116,53 @@ var titles = {
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"Negative Guidance minimum sigma": "Skip negative prompt for steps where image is already mostly denoised; the higher this value, the more skips there will be; provides increased performance in exchange for minor quality reduction."
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};
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function updateTooltipForSpan(span){
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if (span.title) return; // already has a title
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function updateTooltipForSpan(span) {
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if (span.title) return; // already has a title
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let tooltip = localization[titles[span.textContent]] || titles[span.textContent];
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if(!tooltip){
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if (!tooltip) {
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tooltip = localization[titles[span.value]] || titles[span.value];
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}
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if(!tooltip){
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for (const c of span.classList) {
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if (c in titles) {
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tooltip = localization[titles[c]] || titles[c];
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break;
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}
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}
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}
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if (!tooltip) {
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for (const c of span.classList) {
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if (c in titles) {
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tooltip = localization[titles[c]] || titles[c];
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break;
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}
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}
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}
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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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function updateTooltipForSelect(select){
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if (select.onchange != null) return;
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select.onchange = function(){
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select.title = localization[titles[select.value]] || titles[select.value] || "";
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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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observedTooltipElements = {"SPAN": 1, "BUTTON": 1, "SELECT": 1, "P": 1}
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function updateTooltipForSelect(select) {
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if (select.onchange != null) return;
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onUiUpdate(function(m){
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m.forEach(function(record){
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record.addedNodes.forEach(function(node){
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if(observedTooltipElements[node.tagName]){
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updateTooltipForSpan(node)
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select.onchange = function() {
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select.title = localization[titles[select.value]] || titles[select.value] || "";
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};
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}
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var observedTooltipElements = {SPAN: 1, BUTTON: 1, SELECT: 1, P: 1};
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onUiUpdate(function(m) {
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m.forEach(function(record) {
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record.addedNodes.forEach(function(node) {
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if (observedTooltipElements[node.tagName]) {
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updateTooltipForSpan(node);
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}
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if(node.tagName == "SELECT"){
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updateTooltipForSelect(node)
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if (node.tagName == "SELECT") {
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updateTooltipForSelect(node);
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}
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if(node.querySelectorAll){
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node.querySelectorAll('span, button, select, p').forEach(updateTooltipForSpan)
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node.querySelectorAll('select').forEach(updateTooltipForSelect)
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if (node.querySelectorAll) {
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node.querySelectorAll('span, button, select, p').forEach(updateTooltipForSpan);
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node.querySelectorAll('select').forEach(updateTooltipForSelect);
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}
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})
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})
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})
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});
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});
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});
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@ -442,7 +442,7 @@ function updateImg2imgResizeToTextAfterChangingImage() {
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gradioApp().getElementById('img2img_update_resize_to').click();
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}, 500);
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return []
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return [];
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}
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