Merge branch 'release_candidate' into dev
This commit is contained in:
commit
6ac247317d
@ -4,12 +4,12 @@ onUiLoaded(async() => {
|
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inpaint: "#img2maskimg",
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inpaintSketch: "#inpaint_sketch",
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rangeGroup: "#img2img_column_size",
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sketch: "#img2img_sketch",
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sketch: "#img2img_sketch"
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};
|
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const tabNameToElementId = {
|
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"Inpaint sketch": elementIDs.inpaintSketch,
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"Inpaint": elementIDs.inpaint,
|
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"Sketch": elementIDs.sketch,
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"Sketch": elementIDs.sketch
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};
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// Helper functions
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||||
@ -42,43 +42,110 @@ onUiLoaded(async() => {
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}
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}
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|
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// Check is hotkey valid
|
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function isSingleLetter(value) {
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// Function for defining the "Ctrl", "Shift" and "Alt" keys
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function isModifierKey(event, key) {
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switch (key) {
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case "Ctrl":
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return event.ctrlKey;
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case "Shift":
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return event.shiftKey;
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case "Alt":
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return event.altKey;
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default:
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return false;
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}
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}
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// Check if hotkey is valid
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function isValidHotkey(value) {
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const specialKeys = ["Ctrl", "Alt", "Shift", "Disable"];
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return (
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typeof value === "string" && value.length === 1 && /[a-z]/i.test(value)
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(typeof value === "string" &&
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value.length === 1 &&
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/[a-z]/i.test(value)) ||
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specialKeys.includes(value)
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);
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}
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// Create hotkeyConfig from opts
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function createHotkeyConfig(defaultHotkeysConfig, hotkeysConfigOpts) {
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const result = {};
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const usedKeys = new Set();
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// Normalize hotkey
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function normalizeHotkey(hotkey) {
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return hotkey.length === 1 ? "Key" + hotkey.toUpperCase() : hotkey;
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}
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// Format hotkey for display
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function formatHotkeyForDisplay(hotkey) {
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return hotkey.startsWith("Key") ? hotkey.slice(3) : hotkey;
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}
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// Create hotkey configuration with the provided options
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function createHotkeyConfig(defaultHotkeysConfig, hotkeysConfigOpts) {
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const result = {}; // Resulting hotkey configuration
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const usedKeys = new Set(); // Set of used hotkeys
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// Iterate through defaultHotkeysConfig keys
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for (const key in defaultHotkeysConfig) {
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if (typeof hotkeysConfigOpts[key] === "boolean") {
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result[key] = hotkeysConfigOpts[key];
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continue;
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}
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const userValue = hotkeysConfigOpts[key]; // User-provided hotkey value
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const defaultValue = defaultHotkeysConfig[key]; // Default hotkey value
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// Apply appropriate value for undefined, boolean, or object userValue
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if (
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hotkeysConfigOpts[key] &&
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isSingleLetter(hotkeysConfigOpts[key]) &&
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!usedKeys.has(hotkeysConfigOpts[key].toUpperCase())
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userValue === undefined ||
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typeof userValue === "boolean" ||
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typeof userValue === "object" ||
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userValue === "disable"
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) {
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// If the property passed the test and has not yet been used, add 'Key' before it and save it
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result[key] = "Key" + hotkeysConfigOpts[key].toUpperCase();
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usedKeys.add(hotkeysConfigOpts[key].toUpperCase());
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result[key] =
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userValue === undefined ? defaultValue : userValue;
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} else if (isValidHotkey(userValue)) {
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const normalizedUserValue = normalizeHotkey(userValue);
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// Check for conflicting hotkeys
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if (!usedKeys.has(normalizedUserValue)) {
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usedKeys.add(normalizedUserValue);
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result[key] = normalizedUserValue;
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} else {
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console.error(
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`Hotkey: ${formatHotkeyForDisplay(
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userValue
|
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)} for ${key} is repeated and conflicts with another hotkey. The default hotkey is used: ${formatHotkeyForDisplay(
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defaultValue
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)}`
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);
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result[key] = defaultValue;
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}
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} else {
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// If the property does not pass the test or has already been used, we keep the default value
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console.error(
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||||
`Hotkey: ${hotkeysConfigOpts[key]} for ${key} is repeated and conflicts with another hotkey or is not 1 letter. The default hotkey is used: ${defaultHotkeysConfig[key][3]}`
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`Hotkey: ${formatHotkeyForDisplay(
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userValue
|
||||
)} for ${key} is not valid. The default hotkey is used: ${formatHotkeyForDisplay(
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||||
defaultValue
|
||||
)}`
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);
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result[key] = defaultHotkeysConfig[key];
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result[key] = defaultValue;
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}
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}
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return result;
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}
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// Disables functions in the config object based on the provided list of function names
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function disableFunctions(config, disabledFunctions) {
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// Bind the hasOwnProperty method to the functionMap object to avoid errors
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const hasOwnProperty =
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Object.prototype.hasOwnProperty.bind(functionMap);
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// Loop through the disabledFunctions array and disable the corresponding functions in the config object
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disabledFunctions.forEach(funcName => {
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if (hasOwnProperty(funcName)) {
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const key = functionMap[funcName];
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config[key] = "disable";
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}
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});
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// Return the updated config object
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return config;
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}
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/**
|
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* The restoreImgRedMask function displays a red mask around an image to indicate the aspect ratio.
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* If the image display property is set to 'none', the mask breaks. To fix this, the function
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@ -100,7 +167,9 @@ onUiLoaded(async() => {
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imageARPreview.style.transform = "";
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if (parseFloat(mainTab.style.width) > 865) {
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const transformString = mainTab.style.transform;
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const scaleMatch = transformString.match(/scale\(([-+]?[0-9]*\.?[0-9]+)\)/);
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const scaleMatch = transformString.match(
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/scale\(([-+]?[0-9]*\.?[0-9]+)\)/
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);
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let zoom = 1; // default zoom
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if (scaleMatch && scaleMatch[1]) {
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@ -124,31 +193,52 @@ onUiLoaded(async() => {
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// Default config
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const defaultHotkeysConfig = {
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canvas_hotkey_zoom: "Alt",
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canvas_hotkey_adjust: "Ctrl",
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canvas_hotkey_reset: "KeyR",
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canvas_hotkey_fullscreen: "KeyS",
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canvas_hotkey_move: "KeyF",
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canvas_hotkey_overlap: "KeyO",
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canvas_show_tooltip: true,
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canvas_swap_controls: false
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canvas_disabled_functions: [],
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canvas_show_tooltip: true
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};
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// swap the actions for ctr + wheel and shift + wheel
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const hotkeysConfig = createHotkeyConfig(
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const functionMap = {
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"Zoom": "canvas_hotkey_zoom",
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"Adjust brush size": "canvas_hotkey_adjust",
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"Moving canvas": "canvas_hotkey_move",
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"Fullscreen": "canvas_hotkey_fullscreen",
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"Reset Zoom": "canvas_hotkey_reset",
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"Overlap": "canvas_hotkey_overlap"
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};
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// Loading the configuration from opts
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const preHotkeysConfig = createHotkeyConfig(
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defaultHotkeysConfig,
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hotkeysConfigOpts
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);
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// Disable functions that are not needed by the user
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const hotkeysConfig = disableFunctions(
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preHotkeysConfig,
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preHotkeysConfig.canvas_disabled_functions
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);
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let isMoving = false;
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let mouseX, mouseY;
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let activeElement;
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const elements = Object.fromEntries(Object.keys(elementIDs).map((id) => [
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id,
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||||
gradioApp().querySelector(elementIDs[id]),
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]));
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const elements = Object.fromEntries(
|
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Object.keys(elementIDs).map(id => [
|
||||
id,
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||||
gradioApp().querySelector(elementIDs[id])
|
||||
])
|
||||
);
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const elemData = {};
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// Apply functionality to the range inputs. Restore redmask and correct for long images.
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const rangeInputs = elements.rangeGroup ? Array.from(elements.rangeGroup.querySelectorAll("input")) :
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const rangeInputs = elements.rangeGroup ?
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Array.from(elements.rangeGroup.querySelectorAll("input")) :
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[
|
||||
gradioApp().querySelector("#img2img_width input[type='range']"),
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gradioApp().querySelector("#img2img_height input[type='range']")
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@ -180,38 +270,56 @@ onUiLoaded(async() => {
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const toolTipElemnt =
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targetElement.querySelector(".image-container");
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const tooltip = document.createElement("div");
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tooltip.className = "tooltip";
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tooltip.className = "canvas-tooltip";
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|
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// Creating an item of information
|
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const info = document.createElement("i");
|
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info.className = "tooltip-info";
|
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info.className = "canvas-tooltip-info";
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info.textContent = "";
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// Create a container for the contents of the tooltip
|
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const tooltipContent = document.createElement("div");
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tooltipContent.className = "tooltip-content";
|
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tooltipContent.className = "canvas-tooltip-content";
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|
||||
// Add info about hotkeys
|
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const zoomKey = hotkeysConfig.canvas_swap_controls ? "Ctrl" : "Shift";
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const adjustKey = hotkeysConfig.canvas_swap_controls ? "Shift" : "Ctrl";
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|
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const hotkeys = [
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{key: `${zoomKey} + wheel`, action: "Zoom canvas"},
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{key: `${adjustKey} + wheel`, action: "Adjust brush size"},
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// Define an array with hotkey information and their actions
|
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const hotkeysInfo = [
|
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{
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key: hotkeysConfig.canvas_hotkey_reset.charAt(hotkeysConfig.canvas_hotkey_reset.length - 1),
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action: "Reset zoom"
|
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configKey: "canvas_hotkey_zoom",
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action: "Zoom canvas",
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keySuffix: " + wheel"
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},
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{
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key: hotkeysConfig.canvas_hotkey_fullscreen.charAt(hotkeysConfig.canvas_hotkey_fullscreen.length - 1),
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configKey: "canvas_hotkey_adjust",
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action: "Adjust brush size",
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keySuffix: " + wheel"
|
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},
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{configKey: "canvas_hotkey_reset", action: "Reset zoom"},
|
||||
{
|
||||
configKey: "canvas_hotkey_fullscreen",
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action: "Fullscreen mode"
|
||||
},
|
||||
{
|
||||
key: hotkeysConfig.canvas_hotkey_move.charAt(hotkeysConfig.canvas_hotkey_move.length - 1),
|
||||
action: "Move canvas"
|
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}
|
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{configKey: "canvas_hotkey_move", action: "Move canvas"},
|
||||
{configKey: "canvas_hotkey_overlap", action: "Overlap"}
|
||||
];
|
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|
||||
// Create hotkeys array with disabled property based on the config values
|
||||
const hotkeys = hotkeysInfo.map(info => {
|
||||
const configValue = hotkeysConfig[info.configKey];
|
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const key = info.keySuffix ?
|
||||
`${configValue}${info.keySuffix}` :
|
||||
configValue.charAt(configValue.length - 1);
|
||||
return {
|
||||
key,
|
||||
action: info.action,
|
||||
disabled: configValue === "disable"
|
||||
};
|
||||
});
|
||||
|
||||
for (const hotkey of hotkeys) {
|
||||
if (hotkey.disabled) {
|
||||
continue;
|
||||
}
|
||||
|
||||
const p = document.createElement("p");
|
||||
p.innerHTML = `<b>${hotkey.key}</b> - ${hotkey.action}`;
|
||||
tooltipContent.appendChild(p);
|
||||
@ -346,10 +454,7 @@ onUiLoaded(async() => {
|
||||
|
||||
// Change the zoom level based on user interaction
|
||||
function changeZoomLevel(operation, e) {
|
||||
if (
|
||||
(!hotkeysConfig.canvas_swap_controls && e.shiftKey) ||
|
||||
(hotkeysConfig.canvas_swap_controls && e.ctrlKey)
|
||||
) {
|
||||
if (isModifierKey(e, hotkeysConfig.canvas_hotkey_zoom)) {
|
||||
e.preventDefault();
|
||||
|
||||
let zoomPosX, zoomPosY;
|
||||
@ -514,6 +619,13 @@ onUiLoaded(async() => {
|
||||
event.preventDefault();
|
||||
action(event);
|
||||
}
|
||||
|
||||
if (
|
||||
isModifierKey(event, hotkeysConfig.canvas_hotkey_zoom) ||
|
||||
isModifierKey(event, hotkeysConfig.canvas_hotkey_adjust)
|
||||
) {
|
||||
event.preventDefault();
|
||||
}
|
||||
}
|
||||
|
||||
// Get Mouse position
|
||||
@ -564,11 +676,7 @@ onUiLoaded(async() => {
|
||||
changeZoomLevel(operation, e);
|
||||
|
||||
// Handle brush size adjustment with ctrl key pressed
|
||||
if (
|
||||
(hotkeysConfig.canvas_swap_controls && e.shiftKey) ||
|
||||
(!hotkeysConfig.canvas_swap_controls &&
|
||||
(e.ctrlKey || e.metaKey))
|
||||
) {
|
||||
if (isModifierKey(e, hotkeysConfig.canvas_hotkey_adjust)) {
|
||||
e.preventDefault();
|
||||
|
||||
// Increase or decrease brush size based on scroll direction
|
||||
|
@ -1,10 +1,13 @@
|
||||
import gradio as gr
|
||||
from modules import shared
|
||||
|
||||
shared.options_templates.update(shared.options_section(('canvas_hotkey', "Canvas Hotkeys"), {
|
||||
"canvas_hotkey_move": shared.OptionInfo("F", "Moving the canvas"),
|
||||
"canvas_hotkey_zoom": shared.OptionInfo("Alt", "Zoom canvas", gr.Radio, {"choices": ["Shift","Ctrl", "Alt"]}).info("If you choose 'Shift' you cannot scroll horizontally, 'Alt' can cause a little trouble in firefox"),
|
||||
"canvas_hotkey_adjust": shared.OptionInfo("Ctrl", "Adjust brush size", gr.Radio, {"choices": ["Shift","Ctrl", "Alt"]}).info("If you choose 'Shift' you cannot scroll horizontally, 'Alt' can cause a little trouble in firefox"),
|
||||
"canvas_hotkey_move": shared.OptionInfo("F", "Moving the canvas").info("To work correctly in firefox, turn off 'Automatically search the page text when typing' in the browser settings"),
|
||||
"canvas_hotkey_fullscreen": shared.OptionInfo("S", "Fullscreen Mode, maximizes the picture so that it fits into the screen and stretches it to its full width "),
|
||||
"canvas_hotkey_reset": shared.OptionInfo("R", "Reset zoom and canvas positon"),
|
||||
"canvas_hotkey_overlap": shared.OptionInfo("O", "Toggle overlap ( Technical button, neededs for testing )"),
|
||||
"canvas_hotkey_overlap": shared.OptionInfo("O", "Toggle overlap").info("Technical button, neededs for testing"),
|
||||
"canvas_show_tooltip": shared.OptionInfo(True, "Enable tooltip on the canvas"),
|
||||
"canvas_swap_controls": shared.OptionInfo(False, "Swap hotkey combinations for Zoom and Adjust brush resize"),
|
||||
"canvas_disabled_functions": shared.OptionInfo(["Overlap"], "Disable function that you don't use", gr.CheckboxGroup, {"choices": ["Zoom","Adjust brush size", "Moving canvas","Fullscreen","Reset Zoom","Overlap"]}),
|
||||
}))
|
||||
|
@ -1,4 +1,4 @@
|
||||
.tooltip-info {
|
||||
.canvas-tooltip-info {
|
||||
position: absolute;
|
||||
top: 10px;
|
||||
left: 10px;
|
||||
@ -15,7 +15,7 @@
|
||||
z-index: 100;
|
||||
}
|
||||
|
||||
.tooltip-info::after {
|
||||
.canvas-tooltip-info::after {
|
||||
content: '';
|
||||
display: block;
|
||||
width: 2px;
|
||||
@ -24,7 +24,7 @@
|
||||
margin-top: 2px;
|
||||
}
|
||||
|
||||
.tooltip-info::before {
|
||||
.canvas-tooltip-info::before {
|
||||
content: '';
|
||||
display: block;
|
||||
width: 2px;
|
||||
@ -32,7 +32,7 @@
|
||||
background-color: white;
|
||||
}
|
||||
|
||||
.tooltip-content {
|
||||
.canvas-tooltip-content {
|
||||
display: none;
|
||||
background-color: #f9f9f9;
|
||||
color: #333;
|
||||
@ -50,7 +50,7 @@
|
||||
z-index: 100;
|
||||
}
|
||||
|
||||
.tooltip:hover .tooltip-content {
|
||||
.canvas-tooltip:hover .canvas-tooltip-content {
|
||||
display: block;
|
||||
animation: fadeIn 0.5s;
|
||||
opacity: 1;
|
||||
|
@ -15,7 +15,7 @@ var titles = {
|
||||
"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",
|
||||
"\u267b\ufe0f": "Reuse seed from last generation, mostly useful if it was randomed",
|
||||
"\u267b\ufe0f": "Reuse seed from last generation, mostly useful if it was randomized",
|
||||
"\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",
|
||||
@ -112,7 +112,7 @@ var 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 listed.",
|
||||
"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."
|
||||
};
|
||||
|
||||
|
@ -20,9 +20,7 @@ codeformer = None
|
||||
|
||||
|
||||
def setup_model(dirname):
|
||||
global model_path
|
||||
if not os.path.exists(model_path):
|
||||
os.makedirs(model_path)
|
||||
os.makedirs(model_path, exist_ok=True)
|
||||
|
||||
path = modules.paths.paths.get("CodeFormer", None)
|
||||
if path is None:
|
||||
|
@ -7,8 +7,7 @@ from modules.paths_internal import extensions_dir, extensions_builtin_dir, scrip
|
||||
|
||||
extensions = []
|
||||
|
||||
if not os.path.exists(extensions_dir):
|
||||
os.makedirs(extensions_dir)
|
||||
os.makedirs(extensions_dir, exist_ok=True)
|
||||
|
||||
|
||||
def active():
|
||||
|
@ -357,6 +357,7 @@ infotext_to_setting_name_mapping = [
|
||||
('Token merging ratio hr', 'token_merging_ratio_hr'),
|
||||
('RNG', 'randn_source'),
|
||||
('NGMS', 's_min_uncond'),
|
||||
('Pad conds', 'pad_cond_uncond'),
|
||||
]
|
||||
|
||||
|
||||
|
@ -70,11 +70,8 @@ gfpgan_constructor = None
|
||||
|
||||
|
||||
def setup_model(dirname):
|
||||
global model_path
|
||||
if not os.path.exists(model_path):
|
||||
os.makedirs(model_path)
|
||||
|
||||
try:
|
||||
os.makedirs(model_path, exist_ok=True)
|
||||
from gfpgan import GFPGANer
|
||||
from facexlib import detection, parsing # noqa: F401
|
||||
global user_path
|
||||
|
@ -95,8 +95,7 @@ def cleanup_models():
|
||||
|
||||
def move_files(src_path: str, dest_path: str, ext_filter: str = None):
|
||||
try:
|
||||
if not os.path.exists(dest_path):
|
||||
os.makedirs(dest_path)
|
||||
os.makedirs(dest_path, exist_ok=True)
|
||||
if os.path.exists(src_path):
|
||||
for file in os.listdir(src_path):
|
||||
fullpath = os.path.join(src_path, file)
|
||||
|
@ -95,8 +95,7 @@ except Exception:
|
||||
|
||||
|
||||
def setup_model():
|
||||
if not os.path.exists(model_path):
|
||||
os.makedirs(model_path)
|
||||
os.makedirs(model_path, exist_ok=True)
|
||||
|
||||
enable_midas_autodownload()
|
||||
|
||||
|
@ -69,6 +69,7 @@ class CFGDenoiser(torch.nn.Module):
|
||||
self.init_latent = None
|
||||
self.step = 0
|
||||
self.image_cfg_scale = None
|
||||
self.padded_cond_uncond = False
|
||||
|
||||
def combine_denoised(self, x_out, conds_list, uncond, cond_scale):
|
||||
denoised_uncond = x_out[-uncond.shape[0]:]
|
||||
@ -133,15 +134,17 @@ class CFGDenoiser(torch.nn.Module):
|
||||
x_in = x_in[:-batch_size]
|
||||
sigma_in = sigma_in[:-batch_size]
|
||||
|
||||
# TODO add infotext entry
|
||||
self.padded_cond_uncond = False
|
||||
if shared.opts.pad_cond_uncond and tensor.shape[1] != uncond.shape[1]:
|
||||
empty = shared.sd_model.cond_stage_model_empty_prompt
|
||||
num_repeats = (tensor.shape[1] - uncond.shape[1]) // empty.shape[1]
|
||||
|
||||
if num_repeats < 0:
|
||||
tensor = torch.cat([tensor, empty.repeat((tensor.shape[0], -num_repeats, 1))], axis=1)
|
||||
self.padded_cond_uncond = True
|
||||
elif num_repeats > 0:
|
||||
uncond = torch.cat([uncond, empty.repeat((uncond.shape[0], num_repeats, 1))], axis=1)
|
||||
self.padded_cond_uncond = True
|
||||
|
||||
if tensor.shape[1] == uncond.shape[1] or skip_uncond:
|
||||
if is_edit_model:
|
||||
@ -405,6 +408,9 @@ class KDiffusionSampler:
|
||||
|
||||
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
|
||||
|
||||
if self.model_wrap_cfg.padded_cond_uncond:
|
||||
p.extra_generation_params["Pad conds"] = True
|
||||
|
||||
return samples
|
||||
|
||||
def sample(self, p, x, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
|
||||
@ -438,5 +444,8 @@ class KDiffusionSampler:
|
||||
's_min_uncond': self.s_min_uncond
|
||||
}, disable=False, callback=self.callback_state, **extra_params_kwargs))
|
||||
|
||||
if self.model_wrap_cfg.padded_cond_uncond:
|
||||
p.extra_generation_params["Pad conds"] = True
|
||||
|
||||
return samples
|
||||
|
||||
|
@ -409,7 +409,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
|
||||
"enable_emphasis": OptionInfo(True, "Enable emphasis").info("use (text) to make model pay more attention to text and [text] to make it pay less attention"),
|
||||
"enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
|
||||
"comma_padding_backtrack": OptionInfo(20, "Prompt word wrap length limit", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1}).info("in tokens - for texts shorter than specified, if they don't fit into 75 token limit, move them to the next 75 token chunk"),
|
||||
"CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP nrtwork; 1 ignores none, 2 ignores one layer"),
|
||||
"CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer"),
|
||||
"upcast_attn": OptionInfo(False, "Upcast cross attention layer to float32"),
|
||||
"randn_source": OptionInfo("GPU", "Random number generator source.", gr.Radio, {"choices": ["GPU", "CPU"]}).info("changes seeds drastically; use CPU to produce the same picture across different videocard vendors"),
|
||||
}))
|
||||
|
@ -298,8 +298,7 @@ def download_and_cache_models(dirname):
|
||||
download_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'
|
||||
model_file_name = 'face_detection_yunet.onnx'
|
||||
|
||||
if not os.path.exists(dirname):
|
||||
os.makedirs(dirname)
|
||||
os.makedirs(dirname, exist_ok=True)
|
||||
|
||||
cache_file = os.path.join(dirname, model_file_name)
|
||||
if not os.path.exists(cache_file):
|
||||
|
@ -325,6 +325,11 @@ def normalize_git_url(url):
|
||||
def install_extension_from_url(dirname, url, branch_name=None):
|
||||
check_access()
|
||||
|
||||
if isinstance(dirname, str):
|
||||
dirname = dirname.strip()
|
||||
if isinstance(url, str):
|
||||
url = url.strip()
|
||||
|
||||
assert url, 'No URL specified'
|
||||
|
||||
if dirname is None or dirname == "":
|
||||
|
Loading…
Reference in New Issue
Block a user