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https://github.com/lllyasviel/stable-diffusion-webui-forge.git
synced 2026-07-21 21:01:24 +08:00
96 lines
3.8 KiB
JavaScript
96 lines
3.8 KiB
JavaScript
// mouseover tooltips for various UI elements
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const titles = {
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"Sampling Method": "The algorithm used to refine each step of the image",
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"Schedule Type": "The algorithm used to adjust the magnitude of refinement",
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"Sampling Steps": "The number of times the image is iteratively refined",
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"Batch Count": "How many batches of images to generate (in sequence)",
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"Batch Size": "How many images to generate in a single batch (in parallel)",
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"Frames": "How many frames to generate for the video",
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"CFG Scale": "The strength used to calculate conditionings",
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"Rescale CFG": "Reduce the high-contrast burnt-color effects (mainly for v-pred checkpoints)",
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"MaHiRo": "An alternative algorithm used for CFG calculation",
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"Seed": 'Given the same prompts and parameters, you "should" generate the same image if the Seed is also the same',
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"Just resize": "Resize input image directly to target resolution",
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"Crop and resize": "Resize the image while maintaining the aspect ratio; crop the excessive parts",
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"Resize and fill": "Resize the image while maintaining the aspect ratio; fill the empty parts with neighboring colors",
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"Mask blur": "How much feathering to apply to the mask (in pixels)",
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"fill": "Fill the masked areas with neighboring colors",
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"original": "Keep whatever was within the masked areas",
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"latent noise": "Fill the masked areas with noise (requires high Denoising strength)",
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"latent nothing": "Fill the masked areas with zero values (requires high Denoising strength)",
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"Denoising Strength": "How strong should the image be changed",
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"Hires. fix": "Automatically perform an additional pass of img2img",
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"Hires steps": "Sampling Steps for the img2img pass; use original if 0",
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"Upscale by": "Multiply the txt2img dimension by this ratio, to serve as the target dimension",
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"Resize width to": 'Resize image to this width; use "Upscale by" if 0',
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"Resize height to": 'Resize image to this height; use "Upscale by" if 0',
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};
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function updateTooltip(element) {
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if (element.title) return;
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const text = element.textContent || element.value;
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let tooltip = localization[titles[text]] || titles[text];
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if (!tooltip) return;
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element.title = tooltip;
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try {
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for (let i = 0; i < 5; i++) {
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element = element.parentNode;
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if (element.classList.contains("block")) break;
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}
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const fields = element.querySelectorAll("input");
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for (const field of fields)
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field.title = tooltip;
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} catch { };
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}
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const tooltipCheckNodes = new Set();
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let tooltipCheckTimer = null;
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function processTooltipCheckNodes() {
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for (const node of tooltipCheckNodes) updateTooltip(node);
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tooltipCheckNodes.clear();
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}
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onUiUpdate(function (mutationRecords) {
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for (const record of mutationRecords) {
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for (const node of record.addedNodes) {
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if (
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node.nodeType === Node.ELEMENT_NODE &&
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!node.classList.contains("hide")
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) {
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if (!node.title) {
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if (["SPAN", "BUTTON", "P"].includes(node.tagName))
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tooltipCheckNodes.add(node);
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}
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node
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.querySelectorAll("span, button, p")
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.forEach((n) => tooltipCheckNodes.add(n));
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}
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}
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}
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if (tooltipCheckNodes.size) {
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clearTimeout(tooltipCheckTimer);
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tooltipCheckTimer = setTimeout(processTooltipCheckNodes, 1000);
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}
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});
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onUiLoaded(() => {
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for (const comp of window.gradio_config.components) {
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if (comp.props.webui_tooltip && comp.props.elem_id) {
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const elem = gradioApp().getElementById(comp.props.elem_id);
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if (elem) elem.title = comp.props.webui_tooltip;
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}
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}
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});
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