From bb80eea9d4a668d2c86d6c399bb4c3a443fcf066 Mon Sep 17 00:00:00 2001 From: AUTOMATIC <16777216c@gmail.com> Date: Thu, 18 May 2023 10:03:48 +0300 Subject: [PATCH] eslint the merged code --- javascript/hints.js | 84 ++++++++++++++++++++++----------------------- javascript/ui.js | 2 +- 2 files changed, 43 insertions(+), 43 deletions(-) diff --git a/javascript/hints.js b/javascript/hints.js index 615ac264..46f342cb 100644 --- a/javascript/hints.js +++ b/javascript/hints.js @@ -3,15 +3,15 @@ var titles = { "Sampling steps": "How many times to improve the generated image iteratively; 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 a completely different picture depending on step count, setting steps higher than 30-40 does not help", - "DDIM": "Denoising Diffusion Implicit Models - best at inpainting", - "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", + "GFPGAN": "Restore low quality faces using GFPGAN neural network", + "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", + "DDIM": "Denoising Diffusion Implicit Models - best at inpainting", + "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)", + "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", "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", "\u{1f3b2}\ufe0f": "Set seed to -1, which will cause a new random number to be used every time", @@ -116,53 +116,53 @@ var titles = { "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 +function updateTooltipForSpan(span) { + if (span.title) return; // already has a title let tooltip = localization[titles[span.textContent]] || titles[span.textContent]; - if(!tooltip){ + if (!tooltip) { tooltip = localization[titles[span.value]] || titles[span.value]; } - if(!tooltip){ - for (const c of span.classList) { - if (c in titles) { - tooltip = localization[titles[c]] || 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; - } -} - -function updateTooltipForSelect(select){ - if (select.onchange != null) return; - - select.onchange = function(){ - select.title = localization[titles[select.value]] || titles[select.value] || ""; + if (tooltip) { + span.title = tooltip; } } -observedTooltipElements = {"SPAN": 1, "BUTTON": 1, "SELECT": 1, "P": 1} +function updateTooltipForSelect(select) { + if (select.onchange != null) return; -onUiUpdate(function(m){ - m.forEach(function(record){ - record.addedNodes.forEach(function(node){ - if(observedTooltipElements[node.tagName]){ - updateTooltipForSpan(node) + select.onchange = function() { + select.title = localization[titles[select.value]] || titles[select.value] || ""; + }; +} + +var 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.tagName == "SELECT") { + updateTooltipForSelect(node); } - if(node.querySelectorAll){ - node.querySelectorAll('span, button, select, p').forEach(updateTooltipForSpan) - node.querySelectorAll('select').forEach(updateTooltipForSelect) + if (node.querySelectorAll) { + node.querySelectorAll('span, button, select, p').forEach(updateTooltipForSpan); + node.querySelectorAll('select').forEach(updateTooltipForSelect); } - }) - }) -}) + }); + }); +}); diff --git a/javascript/ui.js b/javascript/ui.js index dbb8132f..c7316ddb 100644 --- a/javascript/ui.js +++ b/javascript/ui.js @@ -442,7 +442,7 @@ function updateImg2imgResizeToTextAfterChangingImage() { gradioApp().getElementById('img2img_update_resize_to').click(); }, 500); - return [] + return []; }