diff options
Diffstat (limited to 'javascript/hints.js')
| -rw-r--r-- | javascript/hints.js | 87 |
1 files changed, 54 insertions, 33 deletions
diff --git a/javascript/hints.js b/javascript/hints.js index 7f4101b2..d2efd35e 100644 --- a/javascript/hints.js +++ b/javascript/hints.js @@ -9,6 +9,7 @@ titles = { "UniPC": "Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models", "DPM adaptive": "Ignores step count - uses a number of steps determined by the CFG and resolution", + "\u{1F4D0}": "Auto detect size from img2img", "Batch count": "How many batches of images to create (has no impact on generation performance or VRAM usage)", "Batch size": "How many image to create in a single batch (increases generation performance at cost of higher VRAM usage)", "CFG Scale": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results", @@ -18,11 +19,11 @@ titles = { "\u2199\ufe0f": "Read generation parameters from prompt or last generation if prompt is empty into user interface.", "\u{1f4c2}": "Open images output directory", "\u{1f4be}": "Save style", - "\u{1f5d1}": "Clear prompt", + "\u{1f5d1}\ufe0f": "Clear prompt", "\u{1f4cb}": "Apply selected styles to current prompt", "\u{1f4d2}": "Paste available values into the field", - "\u{1f3b4}": "Show extra networks", - + "\u{1f3b4}": "Show/hide extra networks", + "\u{1f300}": "Restore progress", "Inpaint a part of image": "Draw a mask over an image, and the script will regenerate the masked area with content according to prompt", "SD upscale": "Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back", @@ -40,8 +41,7 @@ titles = { "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. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.", - "Denoising strength change factor": "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.", - + "Skip": "Stop processing current image and continue processing.", "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.", @@ -67,12 +67,14 @@ titles = { "Interrogate": "Reconstruct prompt from existing image and put it into the prompt field.", - "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt_hash], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.", - "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg],[prompt_hash], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.", + "Images filename pattern": "Use tags like [seed] and [date] to define how filenames for images are chosen. Leave empty for default.", + "Directory name pattern": "Use tags like [seed] and [date] to define how subdirectories for images and grids are chosen. Leave empty for default.", "Max prompt words": "Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle", - "Loopback": "Process an image, use it as an input, repeat.", - "Loops": "How many times to repeat processing an image and using it as input for the next iteration", + "Loopback": "Performs img2img processing multiple times. Output images are used as input for the next loop.", + "Loops": "How many times to process an image. Each output is used as the input of the next loop. If set to 1, behavior will be as if this script were not used.", + "Final denoising strength": "The denoising strength for the final loop of each image in the batch.", + "Denoising strength curve": "The denoising curve controls the rate of denoising strength change each loop. Aggressive: Most of the change will happen towards the start of the loops. Linear: Change will be constant through all loops. Lazy: Most of the change will happen towards the end of the loops.", "Style 1": "Style to apply; styles have components for both positive and negative prompts and apply to both", "Style 2": "Style to apply; styles have components for both positive and negative prompts and apply to both", @@ -85,7 +87,6 @@ titles = { "vram": "Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).", "Eta noise seed delta": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.", - "Do not add watermark to images": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.", "Filename word regex": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.", "Filename join string": "This string will be used to join split words into a single line if the option above is enabled.", @@ -111,37 +112,57 @@ titles = { "Resize height to": "Resizes image to this height. If 0, height is inferred from either of two nearby sliders.", "Multiplier for extra networks": "When adding extra network such as Hypernetwork or Lora to prompt, use this multiplier for it.", "Discard weights with matching name": "Regular expression; if weights's name matches it, the weights is not written to the resulting checkpoint. Use ^model_ema to discard EMA weights.", - "Extra networks tab order": "Comma-separated list of tab names; tabs listed here will appear in the extra networks UI first and in order lsited." + "Extra networks tab order": "Comma-separated list of tab names; tabs listed here will appear in the extra networks UI first and in order lsited.", + "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." } +function updateTooltipForSpan(span){ + if (span.title) return; // already has a title -onUiUpdate(function(){ - gradioApp().querySelectorAll('span, button, select, p').forEach(function(span){ - tooltip = titles[span.textContent]; + let tooltip = localization[titles[span.textContent]] || titles[span.textContent]; - if(!tooltip){ - tooltip = titles[span.value]; - } + if(!tooltip){ + tooltip = localization[titles[span.value]] || titles[span.value]; + } - if(!tooltip){ - for (const c of span.classList) { - if (c in titles) { - tooltip = titles[c]; - break; - } + if(!tooltip){ + for (const c of span.classList) { + if (c in titles) { + tooltip = localization[titles[c]] || titles[c]; + break; } } + } - if(tooltip){ - span.title = tooltip; - } - }) + if(tooltip){ + span.title = tooltip; + } +} + +function updateTooltipForSelect(select){ + if (select.onchange != null) return; - gradioApp().querySelectorAll('select').forEach(function(select){ - if (select.onchange != null) return; + select.onchange = function(){ + select.title = localization[titles[select.value]] || titles[select.value] || ""; + } +} - select.onchange = function(){ - select.title = titles[select.value] || ""; - } - }) +observedTooltipElements = {"SPAN": 1, "BUTTON": 1, "SELECT": 1, "P": 1} + +onUiUpdate(function(m){ + m.forEach(function(record){ + record.addedNodes.forEach(function(node){ + if(observedTooltipElements[node.tagName]){ + updateTooltipForSpan(node) + } + if(node.tagName == "SELECT"){ + updateTooltipForSelect(node) + } + + if(node.querySelectorAll){ + node.querySelectorAll('span, button, select, p').forEach(updateTooltipForSpan) + node.querySelectorAll('select').forEach(updateTooltipForSelect) + } + }) + }) }) |