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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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"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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const field = element.parentNode.querySelector("input"); |
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if (field != null) field.title = tooltip; |
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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) |
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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 (node.nodeType === Node.ELEMENT_NODE && !node.classList.contains("hide")) { |
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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.querySelectorAll('span, button, p').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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