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Support lora models in subfolders when scanning the <lora> tag (#1521)
* Recursive lora search * Support lora models in subfolders when scanning the <lora> tag
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@ -678,6 +678,29 @@ function getAllModelNames(type) {
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return f(modelsOptions[type])
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return f(modelsOptions[type])
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}
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}
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// gets a flattened list of all models of a certain type. e.g. "path/subpath/modelname"
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// use the filter to search for all models having a certain name.
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function getAllModelPathes(type,filter="") {
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function f(tree, prefix) {
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if (tree == undefined) {
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return []
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}
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let result = []
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tree.forEach((e) => {
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if (typeof e == "object") {
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result = result.concat(f(e[1], prefix + e[0] + "/"))
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} else {
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if (filter=="" || e==filter) {
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result.push(prefix + e)
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}
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}
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})
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return result
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}
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return f(modelsOptions[type], "")
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}
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function onUseAsThumbnailClick(req, img) {
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function onUseAsThumbnailClick(req, img) {
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let scale = 1
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let scale = 1
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let targetWidth = img.naturalWidth
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let targetWidth = img.naturalWidth
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@ -29,22 +29,13 @@
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let modelWeights = LoRA.map(e => e.lora_alpha_0)
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let modelWeights = LoRA.map(e => e.lora_alpha_0)
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loraModelField.value = {modelNames: modelNames, modelWeights: modelWeights}
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loraModelField.value = {modelNames: modelNames, modelWeights: modelWeights}
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showToast("Prompt successfully processed", LoRA[0].lora_model_0);
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showToast("Prompt successfully processed")
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}
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}
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//promptField.dispatchEvent(new Event('change'));
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//promptField.dispatchEvent(new Event('change'));
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});
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});
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function isModelAvailable(array, searchString) {
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const foundItem = array.find(function(item) {
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item = item.toString().toLowerCase();
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return item === searchString.toLowerCase()
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});
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return foundItem || "";
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}
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// extract LoRA tags from strings
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// extract LoRA tags from strings
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function extractLoraTags(prompt) {
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function extractLoraTags(prompt) {
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// Define the regular expression for the tags
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// Define the regular expression for the tags
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@ -55,11 +46,13 @@
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// Iterate over the string, finding matches
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// Iterate over the string, finding matches
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for (const match of prompt.matchAll(regex)) {
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for (const match of prompt.matchAll(regex)) {
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const modelFileName = isModelAvailable(modelsCache.options.lora, match[1].trim())
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const modelFileName = match[1].trim()
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if (modelFileName !== "") {
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const loraPathes = getAllModelPathes("lora", modelFileName)
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if (loraPathes.length > 0) {
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const loraPath = loraPathes[0]
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// Initialize an object to hold a match
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// Initialize an object to hold a match
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let loraTag = {
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let loraTag = {
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lora_model_0: modelFileName,
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lora_model_0: loraPath,
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}
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}
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//console.log("Model:" + modelFileName);
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//console.log("Model:" + modelFileName);
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