- Add grid layout and CSS for a new 'Suggest' column in the download target panel, including a lightbulb SVG icon button with a flash animation - Update download_target_methods.js to render the suggest button in the dedicated grid area and apply a ‘mr-is-suggesting’ animation on click - Adjust search button label logic so it shows 'Search Again' when there is a renderable search state in the panel, otherwise show 'Search Online'
1908 lines
84 KiB
JavaScript
1908 lines
84 KiB
JavaScript
import { app } from "../../../../../scripts/app.js";
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import { api } from "../../../../../scripts/api.js";
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import { $el } from "../../../../../scripts/ui.js";
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import { LOG_LEVEL as DEFAULT_FRONTEND_LOG_LEVEL } from "../../log_system/config.js";
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import { logger as frontendLogger } from "../../log_system/logger.js";
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import { getSvgIcon } from "../../utils/icon_utils.js";
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export const downloadTargetMethods = {
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/**
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* Ensure all models are loaded for the dropdown.
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*/
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async ensureAllModelsLoaded(options = {}) {
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const force = options === true || Boolean(options?.force);
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if (!force && this.allModels && this.allModels.length) return;
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try {
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const resp = await api.fetchApi(`/model_resolver/models${force ? '?force=1' : ''}`);
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if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
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const models = await resp.json();
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const list = Array.isArray(models) ? models : [];
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// Build labels and sort alphabetically
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this.allModels = list.map((m) => ({
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...m,
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__label: `${m.category ? m.category + ': ' : ''}${m.relative_path || m.filename || ''}`
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})).sort((a, b) => (a.__label || '').localeCompare(b.__label || ''));
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} catch (e) {
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console.warn('Model Resolver: could not load all models', e);
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this.allModels = [];
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}
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},
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async ensureDownloadDirectoriesLoaded() {
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if (this.downloadDirectories) return;
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try {
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const resp = await api.fetchApi('/model_resolver/directories');
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if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
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const directories = await resp.json();
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if (directories && typeof directories === 'object') {
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this.downloadDirectories = Object.entries(directories).reduce((acc, [key, value]) => {
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const normalizedKey = this.normalizeDownloadCategory(key);
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if (normalizedKey && !acc[normalizedKey]) {
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acc[normalizedKey] = value;
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}
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return acc;
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}, {});
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} else {
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this.downloadDirectories = {};
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}
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} catch (e) {
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console.warn('Model Resolver: could not load download directories', e);
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this.downloadDirectories = {};
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}
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},
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async ensureCapabilitiesLoaded() {
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if (this.capabilities) return;
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try {
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const resp = await api.fetchApi('/model_resolver/capabilities');
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if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
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const data = await resp.json();
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this.capabilities = data && typeof data === 'object' ? data : { sources: {} };
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} catch (e) {
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console.warn('Model Resolver: could not load capabilities', e);
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this.capabilities = { sources: {} };
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}
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},
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async ensureDownloadRootDirectoriesLoaded() {
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if (this.downloadRootDirectories) return this.downloadRootDirectories;
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try {
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const resp = await api.fetchApi('/model_resolver/root-directories');
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if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
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const data = await resp.json();
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this.downloadRootDirectories = data && typeof data === 'object' ? data : {};
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} catch (e) {
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console.warn('Model Resolver: could not load root directories', e);
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this.downloadRootDirectories = {};
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}
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return this.downloadRootDirectories;
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},
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async ensureBaseModelsLoaded() {
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if (this.baseModels) return;
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try {
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const resp = await api.fetchApi('/model_resolver/base-models');
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if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
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const data = await resp.json();
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this.baseModels = data && typeof data === 'object' ? data : {};
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} catch (e) {
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console.warn('Model Resolver: could not load base-models config', e);
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this.baseModels = {};
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}
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},
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isSourceAvailable(source) {
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if (!source || ['all', 'local', 'huggingface', 'civitai', 'civarchive'].includes(source)) {
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return true;
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}
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return Boolean(this.capabilities?.sources?.[source]);
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},
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normalizeDownloadCategory(category = '') {
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const token = String(category || '')
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.trim()
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.toLowerCase()
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.replace(/[\/\\\s-]+/g, '_')
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.replace(/_+/g, '_')
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.replace(/^_|_$/g, '');
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const categoryMap = {
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checkpoint: 'checkpoints',
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lora: 'loras',
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embedding: 'embeddings',
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textualinversion: 'embeddings',
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textual_inversion: 'embeddings',
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upscaler: 'upscale_models',
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unet: 'diffusion_models',
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diffusion_model: 'diffusion_models',
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diffusion_models: 'diffusion_models',
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clip: 'text_encoders',
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clips: 'text_encoders',
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text_encoder: 'text_encoders',
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text_encoders: 'text_encoders',
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ip_adapter: 'ipadapter',
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upscale_model: 'upscale_models',
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latent_upscale_model: 'latent_upscale_models',
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style_model: 'style_models',
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audio_encoder: 'audio_encoders',
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model_patch: 'model_patches',
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sam: 'sams',
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sam_model: 'sams',
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sam_models: 'sams',
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ultralytics_bbox: 'ultralytics',
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ultralytics_segm: 'ultralytics',
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yolo: 'ultralytics',
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background_removal_model: 'background_removal',
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frame_interpolation_model: 'frame_interpolation',
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geometry_estimation_model: 'geometry_estimation',
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optical_flow_model: 'optical_flow',
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'default': 'upscale_models'
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};
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return categoryMap[token] || token || 'checkpoints';
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},
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getKnownDownloadCategorySet() {
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const directories = this.downloadDirectories || {};
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return new Set([
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...Object.keys(directories),
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...this.getDefaultDownloadCategoryKeys()
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].map(key => this.normalizeDownloadCategory(key)).filter(Boolean));
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},
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getSourceResultDownloadCategory(source = {}, fallbackCategory = '') {
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const sourceData = source && typeof source === 'object' ? source : {};
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const knownCategories = this.getKnownDownloadCategorySet();
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const candidates = [
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sourceData.model_type,
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sourceData.modelType,
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sourceData.type,
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sourceData.category,
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sourceData.directory,
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fallbackCategory
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];
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for (const candidate of candidates) {
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if (candidate === undefined || candidate === null || String(candidate).trim() === '') continue;
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const normalized = this.normalizeDownloadCategory(candidate);
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if (normalized && knownCategories.has(normalized)) {
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return normalized;
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}
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}
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const defaultCategory = this.normalizeDownloadCategory('checkpoints');
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return knownCategories.has(defaultCategory)
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? defaultCategory
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: this.normalizeDownloadCategory(fallbackCategory || 'checkpoints');
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},
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getNodeTypeDownloadCategory(nodeType = '') {
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const normalizedNodeType = String(nodeType || '').trim();
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const exactMap = {
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CheckpointLoaderSimple: 'checkpoints',
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CheckpointLoader: 'checkpoints',
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UNETLoader: 'diffusion_models',
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UNETLoaderAdvanced: 'diffusion_models',
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VAELoader: 'vae',
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VAELoaderKJ: 'vae',
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LoraLoader: 'loras',
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LoraLoaderModelOnly: 'loras',
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LoraLoaderBypass: 'loras',
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LoraLoaderBypassModelOnly: 'loras',
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LoraLoaderV2: 'loras',
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ControlNetLoader: 'controlnet',
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CLIPLoader: 'text_encoders',
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DualCLIPLoader: 'text_encoders',
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TripleCLIPLoader: 'text_encoders',
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UpscaleModelLoader: 'upscale_models',
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LTXVAudioVAELoader: 'checkpoints',
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LowVRAMAudioVAELoader: 'checkpoints'
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};
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if (exactMap[normalizedNodeType]) {
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return exactMap[normalizedNodeType];
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}
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const token = normalizedNodeType.toLowerCase();
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if (!token) return '';
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if (token.includes('lora')) return 'loras';
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if (token.includes('vae')) return 'vae';
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if (token.includes('checkpoint')) return 'checkpoints';
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if (token.includes('unet') || token.includes('diffusion')) return 'diffusion_models';
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if (token.includes('controlnet')) return 'controlnet';
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if (token.includes('upscale')) return 'upscale_models';
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if (token.includes('embedding') || token.includes('textualinversion')) return 'embeddings';
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if (token.includes('clip')) return 'text_encoders';
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return '';
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},
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getMissingNodeTypeDownloadCategory(missing = {}) {
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return this.getNodeTypeDownloadCategory(missing.locate_node_type)
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|| this.getNodeTypeDownloadCategory(missing.promoted_inner_node_type)
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|| this.getNodeTypeDownloadCategory(missing.node_type)
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|| '';
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},
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shouldPreserveSavedDownloadCategory(missing = {}, saved = {}, inferredCategory = '') {
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if (!saved?.categoryTouched) return false;
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if (saved.category === undefined || saved.category === null || String(saved.category).trim() === '') return false;
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const savedCategory = this.normalizeDownloadCategory(saved.category || '');
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if (!savedCategory) return false;
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const nodeCategory = this.getMissingNodeTypeDownloadCategory(missing);
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const rawMissingCategory = missing.category || missing.directory || '';
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const missingCategory = rawMissingCategory ? this.normalizeDownloadCategory(rawMissingCategory) : '';
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const strongInferredCategory = nodeCategory || (missingCategory && missingCategory !== 'checkpoints' ? missingCategory : '');
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const inferred = this.normalizeDownloadCategory(inferredCategory || nodeCategory || '');
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if (
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savedCategory === 'checkpoints'
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&& inferred
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&& inferred !== 'checkpoints'
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&& strongInferredCategory
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) {
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return false;
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}
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return true;
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},
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getMissingDownloadCategory(missing = {}, fallbackCategory = 'checkpoints') {
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const knownCategories = this.getKnownDownloadCategorySet();
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const candidates = [
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this.getMissingNodeTypeDownloadCategory(missing),
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missing.category,
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missing.directory,
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fallbackCategory
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];
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for (const candidate of candidates) {
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if (candidate === undefined || candidate === null || String(candidate).trim() === '') continue;
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const normalized = this.normalizeDownloadCategory(candidate);
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if (normalized && knownCategories.has(normalized)) {
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return normalized;
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}
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}
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return this.normalizeDownloadCategory(fallbackCategory || 'checkpoints');
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},
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getCategoryDisplayName(category = '') {
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category = this.normalizeDownloadCategory(category);
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const displayNames = {
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'checkpoints': 'checkpoint',
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'loras': 'lora',
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'vae': 'vae',
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'controlnet': 'controlnet',
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'embeddings': 'embedding',
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'upscale_models': 'upscale_model',
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'latent_upscale_models': 'latent_upscale_model',
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'diffusion_models': 'diffusion_models',
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'text_encoders': 'text encoders',
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'clip': 'clip',
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'clip_vision': 'clip_vision',
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'hypernetworks': 'hypernetwork',
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'style_models': 'style model',
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'gligen': 'GLIGEN',
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'diffusers': 'Diffusers',
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'vae_approx': 'TAESD / VAE approx',
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'audio_encoders': 'audio encoder',
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'background_removal': 'background removal',
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'frame_interpolation': 'frame interpolation',
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'geometry_estimation': 'geometry estimation',
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'detection': 'detection',
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'model_patches': 'model patch',
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'photomaker': 'PhotoMaker',
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'optical_flow': 'optical flow',
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'sams': 'SAM',
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'ultralytics': 'Ultralytics'
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};
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return displayNames[category] || category || 'unknown';
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},
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getModelTypeColorClass(value = '') {
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const token = String(value || '')
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.trim()
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.replace(/([a-z0-9])([A-Z])/g, '$1_$2')
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.toLowerCase()
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.replace(/[\s./\\-]+/g, '_')
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.replace(/[^a-z0-9_]/g, '')
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.replace(/_+/g, '_')
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.replace(/^_|_$/g, '');
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const colorNames = {
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checkpoints: 'model',
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checkpoint: 'model',
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ckpt: 'model',
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model: 'model',
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diffusion_models: 'model',
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diffusion_model: 'model',
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unet: 'model',
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loras: 'lora',
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lora: 'lora',
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locon: 'lora',
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lycoris: 'lora',
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dora: 'lora',
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hypernetworks: 'lora',
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hypernetwork: 'lora',
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style_models: 'style-model',
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style_model: 'style-model',
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vae: 'vae',
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vaes: 'vae',
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vae_approx: 'taesd',
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taesd: 'taesd',
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controlnet: 'controlnet',
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control_net: 'controlnet',
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controlnets: 'controlnet',
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control_nets: 'controlnet',
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t2i_adapter: 'controlnet',
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t2i_adapters: 'controlnet',
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embeddings: 'conditioning',
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embedding: 'conditioning',
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textualinversion: 'conditioning',
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textual_inversion: 'conditioning',
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aesthetic_gradient: 'conditioning',
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text_encoders: 'clip',
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text_encoder: 'clip',
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clip: 'clip',
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clips: 'clip',
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clip_vision: 'clip-vision',
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clipvision: 'clip-vision',
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clip_vision_output: 'clip-vision-output',
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upscale_models: 'image',
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upscale_model: 'image',
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upscaler: 'image',
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upscalers: 'image',
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latent_upscale_models: 'latent',
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latent_upscale_model: 'latent',
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latent: 'latent',
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gligen: 'conditioning',
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diffusers: 'model',
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audio_encoders: 'clip',
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audio_encoder: 'clip',
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background_removal: 'image',
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frame_interpolation: 'image',
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geometry_estimation: 'image',
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detection: 'controlnet',
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model_patches: 'model',
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model_patch: 'model',
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photomaker: 'clip-vision',
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optical_flow: 'image',
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sams: 'controlnet',
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sam: 'controlnet',
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sam_model: 'controlnet',
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ultralytics: 'controlnet',
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ultralytics_bbox: 'controlnet',
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ultralytics_segm: 'controlnet',
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yolo: 'controlnet',
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image: 'image',
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images: 'image',
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mask: 'mask',
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masks: 'mask',
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noise: 'noise',
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sampler: 'sampler',
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samplers: 'sampler',
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sigmas: 'sigmas',
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guider: 'guider',
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guiders: 'guider'
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};
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return `mr-type-chip mr-type-chip--${colorNames[token] || 'generic'}`;
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},
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getCategoryTokenName(category = '') {
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category = this.normalizeDownloadCategory(category);
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const tokenNames = {
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'checkpoints': 'checkpoint',
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'loras': 'lora',
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'vae': 'vae',
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'controlnet': 'controlnet',
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'embeddings': 'embedding',
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'upscale_models': 'upscale_model',
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'latent_upscale_models': 'latent_upscale_model',
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'diffusion_models': 'diffusion_model',
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'text_encoders': 'text_encoders',
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'clip': 'clip',
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'clip_vision': 'clip_vision',
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'hypernetworks': 'hypernetwork',
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'style_models': 'style_model',
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'gligen': 'gligen',
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'diffusers': 'diffusers',
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'vae_approx': 'vae_approx',
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'audio_encoders': 'audio_encoder',
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'background_removal': 'background_removal',
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'frame_interpolation': 'frame_interpolation',
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'geometry_estimation': 'geometry_estimation',
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'detection': 'detection',
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'model_patches': 'model_patch',
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'photomaker': 'photomaker',
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'optical_flow': 'optical_flow',
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'sams': 'sam_model',
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'ultralytics': 'ultralytics'
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};
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return tokenNames[category] || category || 'unknown';
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},
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|
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getDefaultDownloadCategoryKeys() {
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return [
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'checkpoints',
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'loras',
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'diffusion_models',
|
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'text_encoders',
|
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'vae',
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|
'embeddings',
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|
'upscale_models',
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'controlnet',
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'clip_vision',
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|
'style_models',
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'gligen',
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'diffusers',
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'latent_upscale_models',
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|
'audio_encoders',
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|
'background_removal',
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|
'frame_interpolation',
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|
'geometry_estimation',
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'detection',
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|
'model_patches',
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'photomaker',
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'optical_flow',
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'ipadapter',
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'sams',
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'ultralytics'
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];
|
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},
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|
|
|
getDownloadCategoryOptions(defaultCategory = 'checkpoints') {
|
|
const directories = this.downloadDirectories || {};
|
|
const keys = [
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...Object.keys(directories),
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...this.getDefaultDownloadCategoryKeys()
|
|
];
|
|
const preferred = this.normalizeDownloadCategory(defaultCategory || 'checkpoints');
|
|
const ordered = [
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preferred,
|
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...keys.map(key => this.normalizeDownloadCategory(key)).filter(key => key !== preferred)
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|
].filter((value, index, arr) => value && arr.indexOf(value) === index);
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|
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return ordered.length > 0 ? ordered : [preferred];
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},
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|
|
getSearchSourceOptions() {
|
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const sources = ['all', ...this.getEnabledSearchSources()];
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|
return sources.map(source => ({
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value: source,
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|
label: this.getSearchSourceLabel(source)
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}));
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|
},
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|
|
|
getAvailableSubfolders(category = '') {
|
|
return this.downloadSubfolders.get(this.normalizeDownloadCategory(category)) || [];
|
|
},
|
|
|
|
getSubfolderOptionValue(option) {
|
|
return String(
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option && typeof option === 'object'
|
|
? option.value || ''
|
|
: option || ''
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|
);
|
|
},
|
|
|
|
getSubfolderOptionLabel(option) {
|
|
if (option && typeof option === 'object') {
|
|
return String(option.label || option.value || '');
|
|
}
|
|
return String(option || '');
|
|
},
|
|
|
|
getSubfolderOptionBaseDirectory(option) {
|
|
return String(
|
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option && typeof option === 'object'
|
|
? option.base_directory || option.baseDirectory || ''
|
|
: ''
|
|
);
|
|
},
|
|
|
|
getSubfolderOptionSearchText(option) {
|
|
return [
|
|
this.getSubfolderOptionValue(option),
|
|
this.getSubfolderOptionLabel(option),
|
|
this.getSubfolderOptionBaseDirectory(option)
|
|
].join(' ').toLowerCase();
|
|
},
|
|
|
|
getDownloadTargetBaseDirectory(category = '') {
|
|
const normalizedCategory = this.normalizeDownloadCategory(category);
|
|
return this.getDefaultRootForCategory(normalizedCategory)
|
|
|| this.downloadDirectories?.[normalizedCategory]
|
|
|| '';
|
|
},
|
|
|
|
joinLocalPath(basePath = '', relativePath = '') {
|
|
const base = String(basePath || '').replace(/[\/\\]+$/, '');
|
|
const relative = String(relativePath || '').replace(/^[\/\\]+/, '');
|
|
if (!base) return relative;
|
|
if (!relative) return base;
|
|
const separator = base.includes('\\') ? '\\' : '/';
|
|
return `${base}${separator}${relative}`;
|
|
},
|
|
|
|
getDownloadTargetFolderContext(category = '', subfolder = '', baseDirectory = '') {
|
|
const normalizedCategory = this.normalizeDownloadCategory(category);
|
|
const targetBaseDirectory = baseDirectory || this.getDownloadTargetBaseDirectory(normalizedCategory);
|
|
if (!targetBaseDirectory) return null;
|
|
|
|
const cleanSubfolder = String(subfolder || '').trim();
|
|
const folderPath = cleanSubfolder
|
|
? this.joinLocalPath(targetBaseDirectory, cleanSubfolder)
|
|
: targetBaseDirectory;
|
|
return {
|
|
context_scope: 'download_folder',
|
|
name: cleanSubfolder || this.getCategoryDisplayName(normalizedCategory),
|
|
path: folderPath,
|
|
resolved_path: folderPath,
|
|
folder_path: folderPath,
|
|
download_directory: folderPath,
|
|
category: normalizedCategory
|
|
};
|
|
},
|
|
|
|
setDownloadFolderContextTarget(element, contextMenuModel = null, tooltip = 'Right-click to open this folder') {
|
|
if (!element) return;
|
|
if (contextMenuModel) {
|
|
element.dataset.model = encodeURIComponent(JSON.stringify(contextMenuModel));
|
|
element.dataset.tooltip = tooltip;
|
|
element.classList.add('mr-download-folder-context');
|
|
element.oncontextmenu = (event) => {
|
|
window.MLOpenContextMenu?.(event, element);
|
|
};
|
|
} else {
|
|
delete element.dataset.model;
|
|
delete element.dataset.tooltip;
|
|
element.classList.remove('mr-download-folder-context');
|
|
element.oncontextmenu = null;
|
|
}
|
|
},
|
|
|
|
syncDownloadTargetFolderContext(categoryEl, subfolderEl) {
|
|
if (!categoryEl) return;
|
|
const category = this.normalizeDownloadCategory(this.getDropdownValue(categoryEl) || 'checkpoints');
|
|
const subfolder = (subfolderEl?.value || '').trim();
|
|
const subfolderBaseDirectory = subfolderEl?.dataset.baseDirectory || '';
|
|
|
|
this.setDownloadFolderContextTarget(
|
|
categoryEl,
|
|
this.getDownloadTargetFolderContext(category, ''),
|
|
'Right-click to open this model folder'
|
|
);
|
|
this.setDownloadFolderContextTarget(
|
|
subfolderEl,
|
|
subfolder ? this.getDownloadTargetFolderContext(category, subfolder, subfolderBaseDirectory) : null,
|
|
'Right-click to open this subfolder'
|
|
);
|
|
},
|
|
|
|
normalizeDownloadPathMode(value = '') {
|
|
const mode = String(value || '').trim().toLowerCase();
|
|
return ['suggested', 'template', 'manual'].includes(mode) ? mode : 'suggested';
|
|
},
|
|
|
|
getDefaultDownloadPathTemplates() {
|
|
return {
|
|
loras: '{base_model}/{first_tag}',
|
|
checkpoints: '{base_model}',
|
|
embeddings: '{base_model}',
|
|
diffusion_models: '{base_model}',
|
|
text_encoders: '',
|
|
controlnet: '{base_model}',
|
|
vae: '',
|
|
upscale_models: ''
|
|
};
|
|
},
|
|
|
|
getDownloadPathTemplateCategoryDefinitions() {
|
|
return [
|
|
{ key: 'loras', label: 'LoRAs' },
|
|
{ key: 'checkpoints', label: 'Checkpoints' },
|
|
{ key: 'embeddings', label: 'Embeddings' },
|
|
{ key: 'diffusion_models', label: 'Diffusion models' },
|
|
{ key: 'text_encoders', label: 'Text encoders' },
|
|
{ key: 'controlnet', label: 'ControlNet' },
|
|
{ key: 'vae', label: 'VAE' },
|
|
{ key: 'upscale_models', label: 'Upscale models' }
|
|
];
|
|
},
|
|
|
|
getDefaultRootCategoryDefinitions() {
|
|
return [
|
|
{ key: 'loras', label: 'LoRA root', settingKey: 'default_lora_root', storageKey: 'ModelResolver.defaultLoraRoot' },
|
|
{ key: 'checkpoints', label: 'Checkpoint root', settingKey: 'default_checkpoint_root', storageKey: 'ModelResolver.defaultCheckpointRoot' },
|
|
{ key: 'diffusion_models', label: 'Diffusion model root', settingKey: 'default_unet_root', storageKey: 'ModelResolver.defaultUnetRoot' },
|
|
{ key: 'embeddings', label: 'Embedding root', settingKey: 'default_embedding_root', storageKey: 'ModelResolver.defaultEmbeddingRoot' },
|
|
{ key: 'text_encoders', label: 'Text encoder root', settingKey: 'default_text_encoder_root', storageKey: 'ModelResolver.defaultTextEncoderRoot' },
|
|
{ key: 'vae', label: 'VAE root', settingKey: 'default_vae_root', storageKey: 'ModelResolver.defaultVaeRoot' },
|
|
{ key: 'upscale_models', label: 'Upscale model root', settingKey: 'default_upscale_model_root', storageKey: 'ModelResolver.defaultUpscaleModelRoot' }
|
|
];
|
|
},
|
|
|
|
getDownloadPathTemplatePresetDefinitions() {
|
|
return [
|
|
{ value: '', label: 'Flat folder' },
|
|
{ value: '{base_model}', label: 'By base model' },
|
|
{ value: '{author}', label: 'By author' },
|
|
{ value: '{first_tag}', label: 'By first tag' },
|
|
{ value: '{base_model}/{first_tag}', label: 'Base model / first tag' },
|
|
{ value: '{base_model}/{author}', label: 'Base model / author' },
|
|
{ value: '{author}/{first_tag}', label: 'Author / first tag' },
|
|
{ value: '{base_model}/{author}/{first_tag}', label: 'Base model / author / first tag' },
|
|
{ value: '{base_model}/{model_name}', label: 'Base model / model name' },
|
|
{ value: '{base_model}/{model_name}/{version_name}', label: 'Base model / model / version' }
|
|
];
|
|
},
|
|
|
|
parseJsonObjectSetting(value, fallback = {}) {
|
|
if (value && typeof value === 'object' && !Array.isArray(value)) {
|
|
return { ...value };
|
|
}
|
|
if (typeof value !== 'string' || !value.trim()) {
|
|
return { ...fallback };
|
|
}
|
|
try {
|
|
const parsed = JSON.parse(value);
|
|
return parsed && typeof parsed === 'object' && !Array.isArray(parsed)
|
|
? { ...parsed }
|
|
: { ...fallback };
|
|
} catch (_error) {
|
|
return { ...fallback };
|
|
}
|
|
},
|
|
|
|
normalizeDownloadPathTemplate(template = '') {
|
|
return String(template || '')
|
|
.replace(/\\/g, '/')
|
|
.split('/')
|
|
.map(part => part.trim())
|
|
.filter(part => part && part !== '.' && part !== '..')
|
|
.join('/');
|
|
},
|
|
|
|
getDownloadPathMode() {
|
|
return this.normalizeDownloadPathMode(localStorage.getItem('ModelResolver.downloadPathMode') || 'suggested');
|
|
},
|
|
|
|
getDownloadPathTemplates() {
|
|
const defaults = this.getDefaultDownloadPathTemplates();
|
|
const parsed = this.parseJsonObjectSetting(
|
|
localStorage.getItem('ModelResolver.downloadPathTemplates'),
|
|
defaults
|
|
);
|
|
const templates = { ...defaults };
|
|
Object.entries(parsed).forEach(([key, value]) => {
|
|
templates[this.normalizeDownloadCategory(key)] = this.normalizeDownloadPathTemplate(value);
|
|
});
|
|
return templates;
|
|
},
|
|
|
|
getBaseModelPathMappings() {
|
|
const parsed = this.parseJsonObjectSetting(localStorage.getItem('ModelResolver.baseModelPathMappings'), {});
|
|
return Object.entries(parsed).reduce((acc, [key, value]) => {
|
|
const source = String(key || '').trim();
|
|
const target = String(value || '').trim();
|
|
if (source && target) acc[source] = target;
|
|
return acc;
|
|
}, {});
|
|
},
|
|
|
|
normalizeBaseModelMappingKey(value = '') {
|
|
return String(value || '').toLowerCase().replace(/[^a-z0-9]+/g, '');
|
|
},
|
|
|
|
resolveBaseModelPathMapping(baseModel = '', mappings = this.getBaseModelPathMappings()) {
|
|
const text = String(baseModel || '');
|
|
if (Object.prototype.hasOwnProperty.call(mappings, text)) {
|
|
return mappings[text];
|
|
}
|
|
|
|
const token = this.normalizeBaseModelMappingKey(text);
|
|
if (!token) return text;
|
|
|
|
const normalizedEntries = Object.entries(mappings)
|
|
.map(([key, value]) => ({
|
|
key,
|
|
token: this.normalizeBaseModelMappingKey(key),
|
|
value
|
|
}))
|
|
.filter(entry => entry.token);
|
|
const exact = normalizedEntries.find(entry => entry.token === token);
|
|
if (exact) return exact.value;
|
|
|
|
const partial = normalizedEntries
|
|
.sort((a, b) => b.token.length - a.token.length)
|
|
.find(entry => (
|
|
entry.token.length >= 4 &&
|
|
(token.startsWith(entry.token) || token.includes(entry.token) || entry.token.includes(token))
|
|
));
|
|
return partial ? partial.value : text;
|
|
},
|
|
|
|
getDefaultRootSettings() {
|
|
return this.getDefaultRootCategoryDefinitions().reduce((acc, item) => {
|
|
acc[item.settingKey] = localStorage.getItem(item.storageKey) || '';
|
|
return acc;
|
|
}, {});
|
|
},
|
|
|
|
getDefaultRootForCategory(category = '') {
|
|
const normalizedCategory = this.normalizeDownloadCategory(category);
|
|
const definition = this.getDefaultRootCategoryDefinitions()
|
|
.find(item => this.normalizeDownloadCategory(item.key) === normalizedCategory);
|
|
return definition ? (localStorage.getItem(definition.storageKey) || '') : '';
|
|
},
|
|
|
|
formatBaseModelMappingsForInput(mappings = {}) {
|
|
return Object.entries(mappings || {})
|
|
.map(([key, value]) => `${key}=${value}`)
|
|
.join('\n');
|
|
},
|
|
|
|
parseBaseModelMappingsInput(value = '') {
|
|
const mappings = {};
|
|
String(value || '').split(/\r?\n/).forEach(line => {
|
|
const trimmed = line.trim();
|
|
if (!trimmed || trimmed.startsWith('#')) return;
|
|
const separator = trimmed.includes('=>') ? '=>' : '=';
|
|
const index = trimmed.indexOf(separator);
|
|
if (index <= 0) return;
|
|
const key = trimmed.slice(0, index).trim();
|
|
const mapped = trimmed.slice(index + separator.length).trim();
|
|
if (key && mapped) mappings[key] = mapped;
|
|
});
|
|
return mappings;
|
|
},
|
|
|
|
sanitizeDownloadPathSegment(value = '', fallback = '') {
|
|
let text = String(value || '').trim() || fallback;
|
|
text = text
|
|
.replace(/[\\/]+/g, '_')
|
|
.replace(/[<>:"|?*\x00-\x1f]+/g, '_')
|
|
.replace(/\s+/g, ' ')
|
|
.replace(/^[\s.]+|[\s.]+$/g, '');
|
|
if (!text || text === '.' || text === '..') {
|
|
text = fallback;
|
|
}
|
|
return String(text || '').replace(/^[\s.]+|[\s.]+$/g, '');
|
|
},
|
|
|
|
sanitizeDownloadPathValue(value = '', fallback = '') {
|
|
return this.normalizeTemplateSubfolder(value)
|
|
|| this.sanitizeDownloadPathSegment(value, fallback);
|
|
},
|
|
|
|
normalizeTemplateSubfolder(value = '') {
|
|
return String(value || '')
|
|
.replace(/\\/g, '/')
|
|
.split('/')
|
|
.map(part => this.sanitizeDownloadPathSegment(part))
|
|
.filter(part => part && part !== '.' && part !== '..')
|
|
.join('/');
|
|
},
|
|
|
|
getPriorityDownloadTag(tags = []) {
|
|
const list = Array.isArray(tags)
|
|
? tags.map(tag => String(tag || '').trim()).filter(Boolean)
|
|
: String(tags || '').split(/[,;]+/).map(tag => tag.trim()).filter(Boolean);
|
|
if (!list.length) return 'no tags';
|
|
const priorityTags = ['concept', 'style', 'character', 'clothing', 'pose', 'object', 'vehicle', 'artist', 'celebrity'];
|
|
const normalize = (value) => String(value || '').toLowerCase().replace(/[^a-z0-9]+/g, '');
|
|
for (const priority of priorityTags) {
|
|
const match = list.find(tag => normalize(tag) === normalize(priority));
|
|
if (match) return match;
|
|
}
|
|
return list[0];
|
|
},
|
|
|
|
getDownloadPathMetadata(missing = {}, source = {}) {
|
|
const sourceData = source && typeof source === 'object' ? source : {};
|
|
const searchSuggestion = this.getCachedSearchSuggestionData(missing);
|
|
const merged = {
|
|
...(missing?.civitai_info || {}),
|
|
...(missing?.civitai_search_result || {}),
|
|
...(missing?.download_source || {}),
|
|
...(searchSuggestion || {}),
|
|
...sourceData
|
|
};
|
|
const repoId = merged.repo_id || merged.repo || '';
|
|
const filename = merged.downloadFilename
|
|
|| merged.filename
|
|
|| merged.file_name
|
|
|| missing.original_path?.split('/').pop()?.split('\\').pop()
|
|
|| '';
|
|
const modelName = merged.model_name || merged.model || merged.name || filename.replace(/\.[^.]+$/, '') || '';
|
|
const creator = merged.creator
|
|
|| (merged.creator_username ? { username: merged.creator_username } : null)
|
|
|| (merged.username ? { username: merged.username } : null)
|
|
|| null;
|
|
const author = merged.author
|
|
|| merged.creator_username
|
|
|| merged.username
|
|
|| (repoId && String(repoId).includes('/') ? String(repoId).split('/')[0] : '');
|
|
return {
|
|
filename,
|
|
name: modelName,
|
|
model_name: modelName,
|
|
version_name: merged.version_name || merged.versionName || merged.version || '',
|
|
base_model: merged.base_model || merged.baseModel || '',
|
|
tags: Array.isArray(merged.tags) ? merged.tags : [],
|
|
creator,
|
|
author,
|
|
repo_id: repoId,
|
|
category: merged.category || missing.category || ''
|
|
};
|
|
},
|
|
|
|
getDownloadMetadata(missing = {}, source = {}, options = {}) {
|
|
const sourceData = source && typeof source === 'object' ? source : {};
|
|
const searchSuggestion = this.getCachedSearchSuggestionData(missing);
|
|
const merged = {
|
|
...(missing?.civitai_info || {}),
|
|
...(missing?.civitai_search_result || {}),
|
|
...(missing?.download_source || {}),
|
|
...(searchSuggestion || {}),
|
|
...sourceData
|
|
};
|
|
const sourceHasIdentity = Boolean(
|
|
sourceData.model_id
|
|
|| sourceData.modelId
|
|
|| sourceData.version_id
|
|
|| sourceData.versionId
|
|
|| sourceData.details_source
|
|
|| sourceData.source
|
|
|| sourceData.sourceKey
|
|
);
|
|
const idSource = sourceHasIdentity ? sourceData : (missing?.download_source || {});
|
|
const selectedVersion = merged.selected_version || merged.selectedVersion || null;
|
|
const pathMetadata = options.pathMetadata || this.getDownloadPathMetadata(missing, sourceData);
|
|
const toList = (value) => {
|
|
if (Array.isArray(value)) return value.filter(item => item !== undefined && item !== null && item !== '');
|
|
if (typeof value === 'string') return value.split(',').map(item => item.trim()).filter(Boolean);
|
|
return [];
|
|
};
|
|
const filename = options.filename
|
|
|| merged.downloadFilename
|
|
|| merged.filename
|
|
|| merged.file_name
|
|
|| pathMetadata.filename
|
|
|| missing.original_path?.split('/').pop()?.split('\\').pop()
|
|
|| '';
|
|
const modelName = merged.model_name
|
|
|| merged.model
|
|
|| merged.name
|
|
|| pathMetadata.model_name
|
|
|| filename.replace(/\.[^.]+$/, '')
|
|
|| '';
|
|
const versionName = merged.version_name
|
|
|| merged.versionName
|
|
|| merged.version
|
|
|| selectedVersion?.name
|
|
|| pathMetadata.version_name
|
|
|| '';
|
|
const repoId = merged.repo_id || merged.repo || pathMetadata.repo_id || '';
|
|
const creator = merged.creator
|
|
|| pathMetadata.creator
|
|
|| (merged.creator_username ? { username: merged.creator_username } : null)
|
|
|| (merged.username ? { username: merged.username } : null)
|
|
|| null;
|
|
const sourceName = sourceData.details_source
|
|
|| sourceData.source
|
|
|| sourceData.sourceKey
|
|
|| missing?.download_source?.details_source
|
|
|| missing?.download_source?.source
|
|
|| merged.details_source
|
|
|| merged.source
|
|
|| '';
|
|
const metadata = {
|
|
source: sourceName,
|
|
details_source: sourceData.details_source || sourceData.source || sourceName,
|
|
filename,
|
|
category: options.category || merged.category || missing.category || '',
|
|
name: modelName,
|
|
model_name: modelName,
|
|
version_name: versionName,
|
|
model_id: idSource.model_id || idSource.modelId || '',
|
|
version_id: idSource.version_id || idSource.versionId || '',
|
|
type: merged.type || merged.model_type || '',
|
|
model_type: merged.model_type || merged.type || '',
|
|
base_model: merged.base_model || merged.baseModel || pathMetadata.base_model || '',
|
|
tags: toList(merged.tags || pathMetadata.tags),
|
|
trained_words: toList(merged.trained_words || merged.trainedWords || selectedVersion?.trained_words || selectedVersion?.trainedWords),
|
|
images: toList(merged.images || selectedVersion?.images),
|
|
creator,
|
|
author: merged.author || pathMetadata.author || '',
|
|
repo_id: repoId,
|
|
url: options.openUrl || merged.model_url || merged.version_url || merged.url || '',
|
|
version_url: merged.version_url || '',
|
|
download_url: options.url || merged.download_url || merged.downloadUrl || merged.url || '',
|
|
size: merged.size || merged.size_bytes || '',
|
|
sha256: merged.sha256 || merged.hash || merged.hashes?.SHA256 || merged.hashes?.sha256 || '',
|
|
path_metadata: pathMetadata
|
|
};
|
|
|
|
if (merged.hashes && typeof merged.hashes === 'object') metadata.hashes = merged.hashes;
|
|
if (merged.file_info && typeof merged.file_info === 'object') metadata.file_info = merged.file_info;
|
|
if (merged.file && typeof merged.file === 'object') metadata.file = merged.file;
|
|
if (Array.isArray(merged.files)) metadata.files = merged.files;
|
|
if (selectedVersion && typeof selectedVersion === 'object') metadata.selected_version = selectedVersion;
|
|
if (merged.civitai && typeof merged.civitai === 'object') metadata.civitai = merged.civitai;
|
|
if (merged.metadata_source) metadata.metadata_source = merged.metadata_source;
|
|
if (merged.is_deleted !== undefined) metadata.is_deleted = Boolean(merged.is_deleted);
|
|
if (merged.civitai_deleted !== undefined) metadata.civitai_deleted = Boolean(merged.civitai_deleted);
|
|
|
|
return metadata;
|
|
},
|
|
|
|
calculateDownloadPathTemplateSubfolder(category = '', metadata = {}) {
|
|
const templates = this.getDownloadPathTemplates();
|
|
const normalizedCategory = this.normalizeDownloadCategory(category);
|
|
const template = templates[normalizedCategory] || '';
|
|
if (!template) return '';
|
|
|
|
const mappings = this.getBaseModelPathMappings();
|
|
const baseModel = metadata.base_model || metadata.baseModel || 'Unknown Base Model';
|
|
const mappedBaseModel = this.resolveBaseModelPathMapping(baseModel, mappings);
|
|
const creator = metadata.creator && typeof metadata.creator === 'object'
|
|
? (metadata.creator.username || metadata.creator.name || '')
|
|
: (typeof metadata.creator === 'string' ? metadata.creator : '');
|
|
const author = metadata.author
|
|
|| creator
|
|
|| (metadata.repo_id && String(metadata.repo_id).includes('/') ? String(metadata.repo_id).split('/')[0] : '')
|
|
|| 'Anonymous';
|
|
const replacements = {
|
|
'{base_model}': this.sanitizeDownloadPathValue(mappedBaseModel, 'Unknown Base Model'),
|
|
'{author}': this.sanitizeDownloadPathSegment(author, 'Anonymous'),
|
|
'{first_tag}': this.sanitizeDownloadPathSegment(this.getPriorityDownloadTag(metadata.tags), 'no tags'),
|
|
'{model_name}': this.sanitizeDownloadPathSegment(metadata.model_name || metadata.name || metadata.filename?.replace(/\.[^.]+$/, '') || 'Model', 'Model'),
|
|
'{version_name}': this.sanitizeDownloadPathSegment(metadata.version_name || metadata.versionName || metadata.version || '', '')
|
|
};
|
|
let formatted = template;
|
|
Object.entries(replacements).forEach(([token, value]) => {
|
|
formatted = formatted.split(token).join(value);
|
|
});
|
|
formatted = formatted.replace(/\{[^{}]+\}/g, '');
|
|
return this.normalizeTemplateSubfolder(formatted);
|
|
},
|
|
|
|
isAutoFillSubfolderEnabled() {
|
|
if (this.getDownloadPathMode() === 'manual') return false;
|
|
return localStorage.getItem('ModelResolver.autoFillSubfolder') !== 'false';
|
|
},
|
|
|
|
getDownloadTargetKey(missing = {}) {
|
|
const baseKey = this.getMissingModelKey?.(missing)
|
|
|| `${missing.node_id}:${missing.widget_index}:${missing.subgraph_id || ''}:${missing.is_top_level !== false ? 'T' : 'F'}`;
|
|
const modelIdentity = [
|
|
missing.original_path,
|
|
missing.expected_filename,
|
|
missing.name,
|
|
missing.workflow_url
|
|
].find(value => value !== undefined && value !== null && String(value).trim());
|
|
if (!modelIdentity) {
|
|
return baseKey;
|
|
}
|
|
const identityKey = encodeURIComponent(String(modelIdentity).trim()).slice(0, 240);
|
|
return `${baseKey}:${identityKey}`;
|
|
},
|
|
|
|
getSavedDownloadTargetSelection(missing = {}) {
|
|
const key = this.getDownloadTargetKey(missing);
|
|
return this.downloadTargetSelections?.get(key) || null;
|
|
},
|
|
|
|
saveDownloadTargetSelection(missing = {}, patch = {}) {
|
|
if (!this.downloadTargetSelections) {
|
|
this.downloadTargetSelections = new Map();
|
|
}
|
|
const key = this.getDownloadTargetKey(missing);
|
|
const current = this.downloadTargetSelections.get(key) || {};
|
|
this.downloadTargetSelections.set(key, {
|
|
...current,
|
|
...patch
|
|
});
|
|
},
|
|
|
|
getFirstSearchResult(result) {
|
|
return Array.isArray(result) ? (result[0] || null) : (result || null);
|
|
},
|
|
|
|
getCachedSearchSuggestionData(missing = {}) {
|
|
const state = this.searchResultCache?.get(this.getMissingSearchKey?.(missing));
|
|
const results = state?.results || {};
|
|
const merged = {};
|
|
const hasObjectValues = (value) => (
|
|
value
|
|
&& typeof value === 'object'
|
|
&& !Array.isArray(value)
|
|
&& Object.keys(value).length > 0
|
|
);
|
|
const mergeSuggestionValue = (key, value) => {
|
|
if (value === undefined || value === null || value === '') return;
|
|
if (Array.isArray(value)) {
|
|
if (value.length > 0) {
|
|
merged[key] = value;
|
|
}
|
|
return;
|
|
}
|
|
if (typeof value === 'object') {
|
|
if (hasObjectValues(value)) {
|
|
merged[key] = value;
|
|
}
|
|
return;
|
|
}
|
|
merged[key] = value;
|
|
};
|
|
|
|
for (const source of ['popular', 'model_list', 'huggingface', 'civitai', 'civarchive', 'lora_manager_archive']) {
|
|
const result = this.getFirstSearchResult(results[source]);
|
|
if (result && typeof result === 'object') {
|
|
Object.entries(result).forEach(([key, value]) => {
|
|
mergeSuggestionValue(key, value);
|
|
});
|
|
merged.category = this.getSourceResultDownloadCategory(
|
|
result,
|
|
merged.category || missing.category || ''
|
|
);
|
|
}
|
|
}
|
|
return merged;
|
|
},
|
|
|
|
normalizeFolderToken(value = '') {
|
|
return String(value || '')
|
|
.toLowerCase()
|
|
.replace(/[\/\\]+/g, ' ')
|
|
.replace(/[^a-z0-9]+/g, '');
|
|
},
|
|
|
|
getFolderSuggestionEntries(folders = []) {
|
|
return folders.map(folder => {
|
|
const value = this.getSubfolderOptionValue(folder);
|
|
const segments = value.split(/[\/\\]/).filter(Boolean);
|
|
return {
|
|
value,
|
|
label: this.getSubfolderOptionLabel(folder),
|
|
baseDirectory: this.getSubfolderOptionBaseDirectory(folder),
|
|
option: folder,
|
|
segments,
|
|
normalizedSegments: segments.map(segment => this.normalizeFolderToken(segment))
|
|
};
|
|
});
|
|
},
|
|
|
|
getSuggestedLoraSubfolder(missing, category, folderEntries = []) {
|
|
if (this.normalizeDownloadCategory(category) !== 'loras' || !folderEntries.length) {
|
|
return '';
|
|
}
|
|
|
|
const searchSuggestion = this.getCachedSearchSuggestionData(missing);
|
|
const civitaiData = {
|
|
...(missing?.civitai_info || {}),
|
|
...(searchSuggestion || {}),
|
|
...(missing?.civitai_search_result || {}),
|
|
...(missing?.download_source || {})
|
|
};
|
|
const baseModel = civitaiData.base_model || '';
|
|
const tags = Array.isArray(civitaiData.tags) ? civitaiData.tags.filter(Boolean) : [];
|
|
if (!baseModel) return '';
|
|
|
|
const priorityTags = [
|
|
'concept',
|
|
'style',
|
|
'character',
|
|
'clothing',
|
|
'pose',
|
|
'object',
|
|
'vehicle',
|
|
'artist',
|
|
'celebrity'
|
|
];
|
|
const normalizedBase = this.normalizeFolderToken(baseModel);
|
|
if (!normalizedBase) return '';
|
|
|
|
const baseMatches = folderEntries.filter(entry => entry.normalizedSegments[0] === normalizedBase);
|
|
if (!baseMatches.length) return '';
|
|
|
|
const exactBase = baseMatches.find(entry => entry.segments.length === 1);
|
|
const orderedTags = [
|
|
...priorityTags.filter(tag => tags.some(value => this.normalizeFolderToken(value) === this.normalizeFolderToken(tag))),
|
|
...tags
|
|
].filter((value, index, arr) => value && arr.findIndex(other => this.normalizeFolderToken(other) === this.normalizeFolderToken(value)) === index);
|
|
|
|
for (const tag of orderedTags) {
|
|
const normalizedTag = this.normalizeFolderToken(tag);
|
|
if (!normalizedTag) continue;
|
|
const match = baseMatches.find(entry => entry.normalizedSegments[1] === normalizedTag);
|
|
if (match) {
|
|
return match;
|
|
}
|
|
}
|
|
|
|
return exactBase || null;
|
|
},
|
|
|
|
getSuggestedModelSubfolderCandidates(missing = {}) {
|
|
const source = missing.download_source || {};
|
|
const civitaiInfo = missing.civitai_info || {};
|
|
const civitaiSearch = missing.civitai_search_result || {};
|
|
const searchSuggestion = this.getCachedSearchSuggestionData(missing);
|
|
const localMatches = Array.isArray(missing.matches) ? missing.matches : [];
|
|
const bestLocalMatch = localMatches
|
|
.filter(match => match && typeof match === 'object')
|
|
.sort((a, b) => Number(b.confidence || 0) - Number(a.confidence || 0))[0] || null;
|
|
const bestLocalModel = bestLocalMatch?.model || {};
|
|
const bestLocalPath = bestLocalModel.relative_path
|
|
|| bestLocalModel.path
|
|
|| bestLocalMatch?.path
|
|
|| '';
|
|
const bestLocalFilename = bestLocalModel.filename
|
|
|| bestLocalMatch?.filename
|
|
|| '';
|
|
const rawValues = [
|
|
bestLocalPath,
|
|
bestLocalFilename,
|
|
source.filename,
|
|
source.name,
|
|
source.model_name,
|
|
source.path,
|
|
civitaiInfo.expected_filename,
|
|
civitaiInfo.model_name,
|
|
civitaiSearch.filename,
|
|
civitaiSearch.name,
|
|
civitaiSearch.model_name,
|
|
searchSuggestion.filename,
|
|
searchSuggestion.name,
|
|
searchSuggestion.model_name,
|
|
searchSuggestion.path,
|
|
searchSuggestion.repo_id,
|
|
searchSuggestion.repo,
|
|
missing.original_path,
|
|
missing.name
|
|
].filter(Boolean);
|
|
const candidates = [];
|
|
const ignoredTokens = new Set([
|
|
'model',
|
|
'models',
|
|
'checkpoint',
|
|
'checkpoints',
|
|
'diffusion',
|
|
'diffusionmodel',
|
|
'diffusionmodels',
|
|
'unet',
|
|
'fp8',
|
|
'fp16',
|
|
'bf16',
|
|
'f16',
|
|
'f32',
|
|
'scaled',
|
|
'ema',
|
|
'pruned',
|
|
'safetensors',
|
|
'ckpt',
|
|
'bin',
|
|
'pt',
|
|
'pth',
|
|
'gguf'
|
|
]);
|
|
const addCandidate = (value) => {
|
|
const normalized = this.normalizeFolderToken(value);
|
|
if (!normalized || ignoredTokens.has(normalized) || normalized.length < 3) return;
|
|
if (!candidates.some(candidate => candidate.normalized === normalized)) {
|
|
candidates.push({
|
|
value: String(value || '').trim(),
|
|
normalized
|
|
});
|
|
}
|
|
};
|
|
|
|
for (const value of rawValues) {
|
|
const text = String(value || '').trim();
|
|
if (!text) continue;
|
|
const pathParts = text.split(/[\/\\]/).filter(Boolean);
|
|
if (pathParts.length > 1) {
|
|
pathParts.slice(0, -1).forEach(addCandidate);
|
|
addCandidate(pathParts.slice(0, -1).join('/'));
|
|
}
|
|
|
|
const filename = pathParts[pathParts.length - 1] || text;
|
|
const stem = filename.replace(/\.[^.]+$/, '');
|
|
addCandidate(stem);
|
|
|
|
const tokens = stem
|
|
.split(/[^A-Za-z0-9]+/)
|
|
.map(token => token.trim())
|
|
.filter(Boolean);
|
|
if (tokens.length) {
|
|
addCandidate(tokens[0]);
|
|
for (const token of tokens) {
|
|
const familyMatch = token.match(/^([A-Za-z]{3,})(?=\d)/);
|
|
if (familyMatch) {
|
|
addCandidate(familyMatch[1]);
|
|
}
|
|
}
|
|
if (tokens.length > 1) {
|
|
addCandidate(tokens.slice(0, 2).join(' '));
|
|
}
|
|
}
|
|
|
|
addCandidate(text);
|
|
}
|
|
|
|
return candidates;
|
|
},
|
|
|
|
getSuggestedExistingSubfolderByModelName(missing, folderEntries = []) {
|
|
if (!folderEntries.length) return null;
|
|
const candidates = this.getSuggestedModelSubfolderCandidates(missing);
|
|
if (!candidates.length) return null;
|
|
|
|
const findMatch = (predicate) => {
|
|
for (const candidate of candidates) {
|
|
const match = folderEntries.find(entry => predicate(entry, candidate));
|
|
if (match) return match;
|
|
}
|
|
return null;
|
|
};
|
|
|
|
return findMatch((entry, candidate) => this.normalizeFolderToken(entry.value) === candidate.normalized)
|
|
|| findMatch((entry, candidate) => entry.normalizedSegments[0] === candidate.normalized)
|
|
|| findMatch((entry, candidate) => entry.normalizedSegments.some(segment => segment === candidate.normalized));
|
|
},
|
|
|
|
getTemplateSubfolderSuggestionFromMetadata(missing = {}, category = '') {
|
|
const normalizedCategory = this.normalizeDownloadCategory(category);
|
|
const template = this.getDownloadPathTemplates()[normalizedCategory] || '';
|
|
if (!template) return null;
|
|
|
|
const metadata = this.getDownloadPathMetadata(missing, { category: normalizedCategory });
|
|
const tags = Array.isArray(metadata.tags)
|
|
? metadata.tags.filter(Boolean)
|
|
: String(metadata.tags || '').split(/[,;]+/).map(tag => tag.trim()).filter(Boolean);
|
|
const creator = metadata.creator && typeof metadata.creator === 'object'
|
|
? (metadata.creator.username || metadata.creator.name || '')
|
|
: (typeof metadata.creator === 'string' ? metadata.creator : '');
|
|
const author = metadata.author
|
|
|| creator
|
|
|| (metadata.repo_id && String(metadata.repo_id).includes('/') ? String(metadata.repo_id).split('/')[0] : '');
|
|
const modelName = metadata.model_name
|
|
|| metadata.name
|
|
|| metadata.filename?.replace(/\.[^.]+$/, '')
|
|
|| '';
|
|
const versionName = metadata.version_name || metadata.versionName || metadata.version || '';
|
|
|
|
const requirements = [
|
|
[template.includes('{base_model}'), Boolean(metadata.base_model || metadata.baseModel)],
|
|
[template.includes('{first_tag}'), tags.length > 0],
|
|
[template.includes('{author}'), Boolean(author)],
|
|
[template.includes('{model_name}'), Boolean(modelName)],
|
|
[template.includes('{version_name}'), Boolean(versionName)]
|
|
];
|
|
if (requirements.some(([required, available]) => required && !available)) {
|
|
return null;
|
|
}
|
|
|
|
const value = this.calculateDownloadPathTemplateSubfolder(normalizedCategory, metadata);
|
|
return value
|
|
? { value, label: `${value} (metadata)`, baseDirectory: '' }
|
|
: null;
|
|
},
|
|
|
|
getSuggestedDownloadCategory(missing = {}, fallbackCategory = 'checkpoints') {
|
|
const searchSuggestion = this.getCachedSearchSuggestionData(missing);
|
|
return this.getSourceResultDownloadCategory(
|
|
searchSuggestion || {},
|
|
this.getMissingDownloadCategory(missing, fallbackCategory || 'checkpoints')
|
|
);
|
|
},
|
|
|
|
getSuggestedDownloadSubfolder(missing, category, folders = []) {
|
|
const mode = this.getDownloadPathMode();
|
|
if (mode === 'manual') {
|
|
return null;
|
|
}
|
|
|
|
const folderEntries = this.getFolderSuggestionEntries(folders);
|
|
if (mode === 'template') {
|
|
return this.getTemplateSubfolderSuggestionFromMetadata(missing, category)
|
|
|| this.getSuggestedLoraSubfolder(missing, category, folderEntries)
|
|
|| this.getSuggestedExistingSubfolderByModelName(missing, folderEntries);
|
|
}
|
|
|
|
return this.getSuggestedLoraSubfolder(missing, category, folderEntries)
|
|
|| this.getSuggestedExistingSubfolderByModelName(missing, folderEntries)
|
|
|| this.getTemplateSubfolderSuggestionFromMetadata(missing, category);
|
|
},
|
|
|
|
async applySuggestedDownloadSubfolder(missing, categoryEl, subfolderEl) {
|
|
if (!this.isAutoFillSubfolderEnabled()) return;
|
|
if (!categoryEl || !subfolderEl) return;
|
|
const saved = this.getSavedDownloadTargetSelection(missing);
|
|
if (saved?.subfolderTouched) return;
|
|
|
|
let category = this.normalizeDownloadCategory(this.getDropdownValue(categoryEl));
|
|
const suggestedCategory = this.getSuggestedDownloadCategory(missing, category);
|
|
const preserveSavedCategory = this.shouldPreserveSavedDownloadCategory(missing, saved, category);
|
|
if (suggestedCategory && suggestedCategory !== category && !preserveSavedCategory) {
|
|
category = suggestedCategory;
|
|
this.setDropdownValue(categoryEl, category, this.getCategoryDisplayName(category));
|
|
subfolderEl.value = '';
|
|
subfolderEl.dataset.baseDirectory = '';
|
|
this.saveDownloadTargetSelection(missing, {
|
|
category,
|
|
subfolder: '',
|
|
subfolderBaseDirectory: '',
|
|
categoryTouched: false,
|
|
subfolderTouched: false
|
|
});
|
|
this.syncDownloadTargetFolderContext(categoryEl, subfolderEl);
|
|
}
|
|
await this.ensureDownloadSubfoldersLoaded(category);
|
|
const latestSaved = this.getSavedDownloadTargetSelection(missing);
|
|
if (latestSaved?.subfolderTouched) return;
|
|
|
|
const folders = this.getAvailableSubfolders(category);
|
|
const suggestion = this.getSuggestedDownloadSubfolder(missing, category, folders);
|
|
if (suggestion) {
|
|
subfolderEl.value = suggestion.value || '';
|
|
subfolderEl.dataset.baseDirectory = suggestion.baseDirectory || '';
|
|
this.saveDownloadTargetSelection(missing, {
|
|
category,
|
|
subfolder: suggestion.value || '',
|
|
subfolderBaseDirectory: suggestion.baseDirectory || '',
|
|
subfolderTouched: false
|
|
});
|
|
this.syncDownloadTargetFolderContext(categoryEl, subfolderEl);
|
|
}
|
|
},
|
|
|
|
async forceSuggestedDownloadSubfolder(missing, categoryEl, subfolderEl) {
|
|
if (!categoryEl || !subfolderEl) return;
|
|
|
|
const saved = this.getSavedDownloadTargetSelection(missing);
|
|
const originalCategory = this.normalizeDownloadCategory(this.getDropdownValue(categoryEl));
|
|
let category = originalCategory;
|
|
const suggestedCategory = this.getSuggestedDownloadCategory(missing, category);
|
|
const preserveSavedCategory = this.shouldPreserveSavedDownloadCategory(missing, saved, originalCategory);
|
|
if (suggestedCategory && suggestedCategory !== category && !preserveSavedCategory) {
|
|
category = suggestedCategory;
|
|
}
|
|
await this.ensureDownloadSubfoldersLoaded(category);
|
|
let folders = this.getAvailableSubfolders(category);
|
|
let suggestion = this.getSuggestedDownloadSubfolder(missing, category, folders);
|
|
|
|
if (!suggestion && suggestedCategory && suggestedCategory !== category) {
|
|
category = suggestedCategory;
|
|
await this.ensureDownloadSubfoldersLoaded(category);
|
|
folders = this.getAvailableSubfolders(category);
|
|
suggestion = this.getSuggestedDownloadSubfolder(missing, category, folders);
|
|
}
|
|
|
|
if (!suggestion) {
|
|
this.showNotification?.('No subfolder suggestion available for this model.', 'info');
|
|
return;
|
|
}
|
|
|
|
this.setDropdownValue(categoryEl, category, this.getCategoryDisplayName(category));
|
|
subfolderEl.value = suggestion.value || '';
|
|
subfolderEl.dataset.baseDirectory = suggestion.baseDirectory || '';
|
|
this.saveDownloadTargetSelection(missing, {
|
|
category,
|
|
subfolder: suggestion.value || '',
|
|
subfolderBaseDirectory: suggestion.baseDirectory || '',
|
|
categoryTouched: Boolean(preserveSavedCategory && category === originalCategory),
|
|
subfolderTouched: true
|
|
});
|
|
this.syncDownloadTargetFolderContext(categoryEl, subfolderEl);
|
|
},
|
|
|
|
applySearchResultSuggestion(missing) {
|
|
const categoryEl = this.contentElement?.querySelector(`#download-category-${missing.node_id}-${missing.widget_index}`);
|
|
const subfolderEl = this.contentElement?.querySelector(`#download-subfolder-${missing.node_id}-${missing.widget_index}`);
|
|
if (!categoryEl || !subfolderEl) return;
|
|
this.applySuggestedDownloadSubfolder(missing, categoryEl, subfolderEl);
|
|
},
|
|
|
|
async ensureDownloadSubfoldersLoaded(category = '') {
|
|
const key = this.normalizeDownloadCategory(category);
|
|
if (!key) return [];
|
|
if (key === 'unknown') {
|
|
this.downloadSubfolders.set(key, []);
|
|
return [];
|
|
}
|
|
if (this.downloadSubfolders.has(key)) {
|
|
return this.downloadSubfolders.get(key) || [];
|
|
}
|
|
|
|
try {
|
|
const resp = await api.fetchApi(`/model_resolver/subfolders/${encodeURIComponent(key)}`);
|
|
if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
|
|
const subfolders = await resp.json();
|
|
const list = Array.isArray(subfolders) ? subfolders : [];
|
|
this.downloadSubfolders.set(key, list);
|
|
return list;
|
|
} catch (e) {
|
|
console.warn(`Model Resolver: could not load subfolders for ${key}`, e);
|
|
this.downloadSubfolders.set(key, []);
|
|
return [];
|
|
}
|
|
},
|
|
|
|
renderDownloadTargetControls(missing, defaultCategory = 'checkpoints') {
|
|
const selectId = `download-category-${missing.node_id}-${missing.widget_index}`;
|
|
const subfolderId = `download-subfolder-${missing.node_id}-${missing.widget_index}`;
|
|
const suggestId = `download-subfolder-suggest-${missing.node_id}-${missing.widget_index}`;
|
|
const categoryListId = `download-category-list-${missing.node_id}-${missing.widget_index}`;
|
|
const subfolderListId = `download-subfolder-list-${missing.node_id}-${missing.widget_index}`;
|
|
const saved = this.getSavedDownloadTargetSelection(missing);
|
|
const inferredCategory = this.getMissingDownloadCategory(missing, defaultCategory || 'checkpoints');
|
|
const preserveSavedCategory = this.shouldPreserveSavedDownloadCategory(missing, saved, inferredCategory);
|
|
const selectedCategory = this.normalizeDownloadCategory(
|
|
preserveSavedCategory ? (saved.category || inferredCategory) : inferredCategory
|
|
);
|
|
const preserveSavedSubfolder = Boolean(saved?.subfolderTouched);
|
|
const selectedSubfolder = preserveSavedSubfolder ? saved.subfolder || '' : '';
|
|
const selectedSubfolderBaseDirectory = preserveSavedSubfolder ? saved.subfolderBaseDirectory || '' : '';
|
|
|
|
let html = `<div class="mr-download-target">`;
|
|
html += `<div class="mr-download-target-grid">`;
|
|
html += `<label class="mr-download-target-label mr-download-target-label-folder" for="${selectId}">Folder</label>`;
|
|
html += `<label class="mr-download-target-label mr-download-target-label-subfolder" for="${subfolderId}">Subfolder (optional)</label>`;
|
|
html += `<label class="mr-download-target-label mr-download-target-label-suggest" for="${suggestId}">Suggest</label>`;
|
|
html += `<div class="mr-download-target-wrap mr-download-target-folder-wrap">`;
|
|
html += `<input id="${selectId}" class="mr-download-target-input mr-download-target-select" type="text" autocomplete="off" data-value="${this.escapeHtml(selectedCategory)}" value="${this.escapeHtml(this.getCategoryDisplayName(selectedCategory))}">`;
|
|
html += `<div id="${categoryListId}" class="mr-download-target-list"></div>`;
|
|
html += `</div>`;
|
|
html += `<div class="mr-download-target-wrap mr-download-target-subfolder-wrap">`;
|
|
html += `<input id="${subfolderId}" class="mr-download-target-input" type="text" placeholder="e.g. ponyxl\\styles" autocomplete="off" value="${this.escapeHtml(selectedSubfolder)}" data-base-directory="${this.escapeHtml(selectedSubfolderBaseDirectory)}">`;
|
|
html += `<div id="${subfolderListId}" class="mr-download-target-list"></div>`;
|
|
html += `</div>`;
|
|
html += `<button id="${suggestId}" class="mr-btn mr-btn-secondary mr-btn-sm mr-download-suggest-btn" type="button" data-tooltip="Apply suggested subfolder" aria-label="Apply suggested subfolder">${getSvgIcon('lightbulb', 'currentColor', 'mr-download-suggest-icon')}</button>`;
|
|
html += `</div>`;
|
|
html += `</div>`;
|
|
return html;
|
|
},
|
|
|
|
getDownloadTargetSelection(missing, fallbackCategory = 'checkpoints') {
|
|
const categoryEl = this.contentElement?.querySelector(`#download-category-${missing.node_id}-${missing.widget_index}`);
|
|
const subfolderEl = this.contentElement?.querySelector(`#download-subfolder-${missing.node_id}-${missing.widget_index}`);
|
|
const category = this.normalizeDownloadCategory(
|
|
this.getDropdownValue(categoryEl)
|
|
|| this.getMissingDownloadCategory(missing, fallbackCategory || 'checkpoints')
|
|
);
|
|
const subfolder = (subfolderEl?.value || '').trim();
|
|
const subfolderBaseDirectory = subfolder ? subfolderEl?.dataset.baseDirectory || '' : '';
|
|
this.saveDownloadTargetSelection(missing, {
|
|
category,
|
|
subfolder,
|
|
subfolderBaseDirectory
|
|
});
|
|
return {
|
|
category,
|
|
subfolder,
|
|
baseDirectory: subfolderBaseDirectory
|
|
};
|
|
},
|
|
|
|
enableWheelScrollChaining(scrollEl) {
|
|
if (!scrollEl || scrollEl.dataset.mlWheelChainBound === 'true') return;
|
|
scrollEl.dataset.mlWheelChainBound = 'true';
|
|
|
|
scrollEl.addEventListener('wheel', (event) => {
|
|
const deltaY = event.deltaY;
|
|
if (!deltaY) {
|
|
return;
|
|
}
|
|
|
|
event.preventDefault();
|
|
event.stopPropagation();
|
|
|
|
const maxScrollTop = Math.max(0, scrollEl.scrollHeight - scrollEl.clientHeight);
|
|
if (maxScrollTop <= 0) {
|
|
return;
|
|
}
|
|
|
|
const nextScrollTop = Math.min(
|
|
maxScrollTop,
|
|
Math.max(0, scrollEl.scrollTop + deltaY)
|
|
);
|
|
|
|
scrollEl.scrollTop = nextScrollTop;
|
|
}, { passive: false });
|
|
},
|
|
|
|
wireDownloadTargetAutocomplete(container, missing) {
|
|
const categoryEl = container.querySelector(`#download-category-${missing.node_id}-${missing.widget_index}`);
|
|
const subfolderEl = container.querySelector(`#download-subfolder-${missing.node_id}-${missing.widget_index}`);
|
|
const suggestBtn = container.querySelector(`#download-subfolder-suggest-${missing.node_id}-${missing.widget_index}`);
|
|
const categoryListEl = container.querySelector(`#download-category-list-${missing.node_id}-${missing.widget_index}`);
|
|
const listEl = container.querySelector(`#download-subfolder-list-${missing.node_id}-${missing.widget_index}`);
|
|
if (!categoryEl || !subfolderEl || !listEl) return;
|
|
|
|
this.enableWheelScrollChaining(listEl);
|
|
if (categoryListEl) {
|
|
this.enableWheelScrollChaining(categoryListEl);
|
|
}
|
|
|
|
const renderOptions = (targetEl, values, onSelect) => {
|
|
const options = values.map(value => (
|
|
typeof value === 'object'
|
|
? value
|
|
: { value, label: value }
|
|
));
|
|
if (!options.length) {
|
|
targetEl.innerHTML = '';
|
|
targetEl.style.display = 'none';
|
|
return;
|
|
}
|
|
|
|
targetEl.innerHTML = options
|
|
.slice(0, 50)
|
|
.map(option => {
|
|
const value = String(option.value || '');
|
|
const label = String(option.label || value);
|
|
const baseDirectory = this.getSubfolderOptionBaseDirectory(option);
|
|
return `<div class="mr-download-target-option" data-value="${encodeURIComponent(value)}" data-label="${encodeURIComponent(label)}" data-base-directory="${encodeURIComponent(baseDirectory)}">${this.escapeHtml(label)}</div>`;
|
|
})
|
|
.join('');
|
|
|
|
targetEl.style.display = 'block';
|
|
|
|
targetEl.querySelectorAll('.mr-download-target-option').forEach(option => {
|
|
option.addEventListener('mousedown', (event) => {
|
|
event.preventDefault();
|
|
const value = decodeURIComponent(option.dataset.value || '');
|
|
const label = decodeURIComponent(option.dataset.label || option.dataset.value || '');
|
|
const baseDirectory = decodeURIComponent(option.dataset.baseDirectory || '');
|
|
onSelect(value, label, baseDirectory);
|
|
targetEl.style.display = 'none';
|
|
});
|
|
});
|
|
};
|
|
|
|
const populateCategoryOptions = (filterText = '') => {
|
|
if (!categoryListEl) return;
|
|
const filter = String(filterText || '').trim().toLowerCase();
|
|
const normalizedFilter = filter.replace(/[^a-z0-9]+/g, '');
|
|
const options = this.getDownloadCategoryOptions(this.getDropdownValue(categoryEl) || 'checkpoints')
|
|
.map(category => ({
|
|
value: category,
|
|
label: this.getCategoryDisplayName(category)
|
|
}))
|
|
.filter(option => {
|
|
if (!filter) return true;
|
|
const searchText = `${option.value} ${option.label}`.toLowerCase();
|
|
const normalizedSearchText = searchText.replace(/[^a-z0-9]+/g, '');
|
|
return searchText.includes(filter)
|
|
|| (normalizedFilter && normalizedSearchText.includes(normalizedFilter));
|
|
});
|
|
renderOptions(categoryListEl, options, (value, label) => {
|
|
this.setDropdownValue(categoryEl, value, label);
|
|
subfolderEl.value = '';
|
|
this.saveDownloadTargetSelection(missing, {
|
|
category: value,
|
|
subfolder: '',
|
|
subfolderBaseDirectory: '',
|
|
categoryTouched: true,
|
|
subfolderTouched: false
|
|
});
|
|
subfolderEl.dataset.baseDirectory = '';
|
|
listEl.innerHTML = '';
|
|
listEl.style.display = 'none';
|
|
this.syncDownloadTargetFolderContext(categoryEl, subfolderEl);
|
|
this.applySuggestedDownloadSubfolder(missing, categoryEl, subfolderEl);
|
|
});
|
|
};
|
|
|
|
const populateSubfolderOptions = async (filterText = '') => {
|
|
const filter = (filterText || '').toLowerCase();
|
|
const category = this.getDropdownValue(categoryEl);
|
|
await this.ensureDownloadSubfoldersLoaded(category);
|
|
const folders = this.getAvailableSubfolders(category);
|
|
const filtered = filter
|
|
? folders.filter(folder => this.getSubfolderOptionSearchText(folder).includes(filter))
|
|
: folders;
|
|
|
|
renderOptions(listEl, filtered, (value, _label, baseDirectory) => {
|
|
subfolderEl.value = value;
|
|
subfolderEl.dataset.baseDirectory = baseDirectory || '';
|
|
this.saveDownloadTargetSelection(missing, {
|
|
category: this.getDropdownValue(categoryEl),
|
|
subfolder: value,
|
|
subfolderBaseDirectory: baseDirectory || '',
|
|
subfolderTouched: true
|
|
});
|
|
this.syncDownloadTargetFolderContext(categoryEl, subfolderEl);
|
|
});
|
|
};
|
|
|
|
const hideList = (targetEl) => {
|
|
setTimeout(() => {
|
|
targetEl.style.display = 'none';
|
|
}, 150);
|
|
};
|
|
|
|
if (categoryListEl && categoryEl.dataset.mlCategoryBound !== 'true') {
|
|
categoryEl.dataset.mlCategoryBound = 'true';
|
|
categoryEl.addEventListener('focus', () => populateCategoryOptions(''));
|
|
categoryEl.addEventListener('click', () => populateCategoryOptions(''));
|
|
categoryEl.addEventListener('input', () => {
|
|
const typed = categoryEl.value.trim();
|
|
const category = typed ? this.normalizeDownloadCategory(typed) : '';
|
|
const previousCategory = this.getDropdownValue(categoryEl);
|
|
categoryEl.dataset.value = category;
|
|
if (category !== previousCategory) {
|
|
subfolderEl.value = '';
|
|
subfolderEl.dataset.baseDirectory = '';
|
|
listEl.innerHTML = '';
|
|
listEl.style.display = 'none';
|
|
}
|
|
this.saveDownloadTargetSelection(missing, {
|
|
category,
|
|
subfolder: subfolderEl.value || '',
|
|
subfolderBaseDirectory: subfolderEl.dataset.baseDirectory || '',
|
|
categoryTouched: true,
|
|
subfolderTouched: Boolean(subfolderEl.value)
|
|
});
|
|
this.syncDownloadTargetFolderContext(categoryEl, subfolderEl);
|
|
populateCategoryOptions(typed);
|
|
});
|
|
categoryEl.addEventListener('keydown', (event) => {
|
|
if (event.key === 'Enter' || event.key === 'ArrowDown') {
|
|
event.preventDefault();
|
|
populateCategoryOptions(categoryEl.value);
|
|
}
|
|
});
|
|
categoryEl.addEventListener('blur', () => {
|
|
const category = this.getDropdownValue(categoryEl);
|
|
const knownCategories = this.getKnownDownloadCategorySet();
|
|
if (category && knownCategories.has(this.normalizeDownloadCategory(category))) {
|
|
this.setDropdownValue(categoryEl, category, this.getCategoryDisplayName(category));
|
|
}
|
|
hideList(categoryListEl);
|
|
});
|
|
}
|
|
|
|
subfolderEl.addEventListener('focus', () => {
|
|
populateSubfolderOptions(subfolderEl.value);
|
|
});
|
|
|
|
subfolderEl.addEventListener('input', () => {
|
|
subfolderEl.dataset.baseDirectory = '';
|
|
this.saveDownloadTargetSelection(missing, {
|
|
category: this.getDropdownValue(categoryEl),
|
|
subfolder: subfolderEl.value,
|
|
subfolderBaseDirectory: '',
|
|
subfolderTouched: true
|
|
});
|
|
this.syncDownloadTargetFolderContext(categoryEl, subfolderEl);
|
|
populateSubfolderOptions(subfolderEl.value);
|
|
});
|
|
|
|
subfolderEl.addEventListener('blur', () => hideList(listEl));
|
|
|
|
if (suggestBtn && suggestBtn.dataset.mlSuggestBound !== 'true') {
|
|
suggestBtn.dataset.mlSuggestBound = 'true';
|
|
suggestBtn.addEventListener('click', async () => {
|
|
const suggestAnimationMs = 700;
|
|
suggestBtn.classList.remove('mr-is-suggesting');
|
|
void suggestBtn.offsetWidth;
|
|
suggestBtn.classList.add('mr-is-suggesting');
|
|
suggestBtn.disabled = true;
|
|
const animationDone = new Promise((resolve) => window.setTimeout(resolve, suggestAnimationMs));
|
|
try {
|
|
await this.forceSuggestedDownloadSubfolder(missing, categoryEl, subfolderEl);
|
|
listEl.innerHTML = '';
|
|
listEl.style.display = 'none';
|
|
} finally {
|
|
await animationDone;
|
|
suggestBtn.classList.remove('mr-is-suggesting');
|
|
suggestBtn.disabled = false;
|
|
}
|
|
});
|
|
}
|
|
|
|
this.syncDownloadTargetFolderContext(categoryEl, subfolderEl);
|
|
this.applySuggestedDownloadSubfolder(missing, categoryEl, subfolderEl);
|
|
},
|
|
|
|
getStoredTokens() {
|
|
const civitaiCandidateLimitRaw = parseInt(localStorage.getItem('ModelResolver.civitaiCandidateLimit') || '5', 10);
|
|
const civitai_candidate_limit = Number.isFinite(civitaiCandidateLimitRaw)
|
|
? Math.min(20, Math.max(1, civitaiCandidateLimitRaw))
|
|
: 5;
|
|
const search_source_enabled = this.getSearchSourceEnabledMap();
|
|
const storedFrontendLogsEnabled = localStorage.getItem('ModelResolver.frontendLogsEnabled');
|
|
const storedBackendLogsEnabled = localStorage.getItem('ModelResolver.backendLogsEnabled');
|
|
const storedFrontendLogLevel = localStorage.getItem('ModelResolver.frontendLogLevel');
|
|
const storedBackendLogLevel = localStorage.getItem('ModelResolver.backendLogLevel');
|
|
|
|
return {
|
|
civitai_key: localStorage.getItem('ModelResolver.civitaiApiKey') || '',
|
|
civitai_session_token: localStorage.getItem('ModelResolver.civitaiSessionToken') || '',
|
|
hf_token: localStorage.getItem('ModelResolver.huggingFaceToken') || '',
|
|
brave_search_api_key: localStorage.getItem('ModelResolver.braveSearchApiKey') || '',
|
|
civitai_use_trpc_search: localStorage.getItem('ModelResolver.civitaiUseTrpcSearch') !== 'false',
|
|
civitai_use_html_fallback: localStorage.getItem('ModelResolver.civitaiUseHtmlFallback') !== 'false',
|
|
hf_use_api_search: localStorage.getItem('ModelResolver.hfUseApiSearch') !== 'false',
|
|
hf_use_comfy_org_fallback: localStorage.getItem('ModelResolver.hfUseComfyOrgFallback') !== 'false',
|
|
hf_use_brave_fallback: localStorage.getItem('ModelResolver.hfUseBraveFallback') !== 'false',
|
|
auto_fill_base_model: localStorage.getItem('ModelResolver.autoFillBaseModel') !== 'false',
|
|
auto_fill_subfolder: localStorage.getItem('ModelResolver.autoFillSubfolder') !== 'false',
|
|
frontend_logs_enabled: storedFrontendLogsEnabled === null
|
|
? frontendLogger.enabled !== false
|
|
: storedFrontendLogsEnabled !== 'false',
|
|
backend_logs_enabled: storedBackendLogsEnabled === null
|
|
? true
|
|
: storedBackendLogsEnabled !== 'false',
|
|
frontend_log_level: storedFrontendLogLevel || DEFAULT_FRONTEND_LOG_LEVEL,
|
|
backend_log_level: storedBackendLogLevel || 'DEBUG',
|
|
civitai_candidate_limit,
|
|
search_source_enabled,
|
|
download_path_mode: this.getDownloadPathMode(),
|
|
download_path_templates: this.getDownloadPathTemplates(),
|
|
base_model_path_mappings: this.getBaseModelPathMappings(),
|
|
...this.getDefaultRootSettings()
|
|
};
|
|
},
|
|
|
|
applyFrontendLoggingPreference(enabled = true, levelName = 'DEBUG') {
|
|
frontendLogger.setEnabled(Boolean(enabled));
|
|
frontendLogger.setGlobalAndModuleLevel(frontendLogger.normalizeLevel(levelName));
|
|
},
|
|
|
|
/**
|
|
* Fetch settings saved on the server and sync them into localStorage.
|
|
* Call this once when the dialog initialises so every browser gets the
|
|
* same tokens without the user having to re-enter them.
|
|
*/
|
|
async loadSettingsFromServer() {
|
|
try {
|
|
const resp = await api.fetchApi('/model_resolver/settings');
|
|
if (!resp.ok) {
|
|
const tokens = this.getStoredTokens();
|
|
this.applyFrontendLoggingPreference(tokens.frontend_logs_enabled, tokens.frontend_log_level);
|
|
return;
|
|
}
|
|
const data = await resp.json();
|
|
if (!data || typeof data !== 'object') {
|
|
const tokens = this.getStoredTokens();
|
|
this.applyFrontendLoggingPreference(tokens.frontend_logs_enabled, tokens.frontend_log_level);
|
|
return;
|
|
}
|
|
|
|
// Helper: write to localStorage only when the value from server is
|
|
// non-empty, so we don't overwrite a key the user already has locally.
|
|
const sync = (localKey, serverValue) => {
|
|
if (serverValue !== undefined && serverValue !== null && serverValue !== '') {
|
|
localStorage.setItem(localKey, serverValue);
|
|
}
|
|
};
|
|
|
|
sync('ModelResolver.civitaiApiKey', data.civitai_key);
|
|
sync('ModelResolver.civitaiSessionToken', data.civitai_session_token);
|
|
sync('ModelResolver.huggingFaceToken', data.hf_token);
|
|
sync('ModelResolver.braveSearchApiKey', data.brave_search_api_key);
|
|
|
|
if (data.civitai_use_trpc_search !== undefined)
|
|
localStorage.setItem('ModelResolver.civitaiUseTrpcSearch', data.civitai_use_trpc_search ? 'true' : 'false');
|
|
if (data.civitai_use_html_fallback !== undefined)
|
|
localStorage.setItem('ModelResolver.civitaiUseHtmlFallback', data.civitai_use_html_fallback ? 'true' : 'false');
|
|
if (data.hf_use_api_search !== undefined)
|
|
localStorage.setItem('ModelResolver.hfUseApiSearch', data.hf_use_api_search ? 'true' : 'false');
|
|
if (data.hf_use_comfy_org_fallback !== undefined)
|
|
localStorage.setItem('ModelResolver.hfUseComfyOrgFallback', data.hf_use_comfy_org_fallback ? 'true' : 'false');
|
|
if (data.hf_use_brave_fallback !== undefined)
|
|
localStorage.setItem('ModelResolver.hfUseBraveFallback', data.hf_use_brave_fallback ? 'true' : 'false');
|
|
if (data.auto_fill_base_model !== undefined)
|
|
localStorage.setItem('ModelResolver.autoFillBaseModel', data.auto_fill_base_model ? 'true' : 'false');
|
|
if (data.auto_fill_subfolder !== undefined)
|
|
localStorage.setItem('ModelResolver.autoFillSubfolder', data.auto_fill_subfolder ? 'true' : 'false');
|
|
if (data.download_path_mode !== undefined)
|
|
localStorage.setItem('ModelResolver.downloadPathMode', this.normalizeDownloadPathMode(data.download_path_mode));
|
|
if (data.download_path_templates !== undefined)
|
|
localStorage.setItem('ModelResolver.downloadPathTemplates', JSON.stringify(data.download_path_templates || {}));
|
|
if (data.base_model_path_mappings !== undefined)
|
|
localStorage.setItem('ModelResolver.baseModelPathMappings', JSON.stringify(data.base_model_path_mappings || {}));
|
|
this.getDefaultRootCategoryDefinitions().forEach((item) => {
|
|
if (data[item.settingKey] !== undefined) {
|
|
localStorage.setItem(item.storageKey, String(data[item.settingKey] || ''));
|
|
}
|
|
});
|
|
if (data.civitai_candidate_limit !== undefined)
|
|
localStorage.setItem('ModelResolver.civitaiCandidateLimit', `${data.civitai_candidate_limit}`);
|
|
if (data.frontend_logs_enabled !== undefined)
|
|
localStorage.setItem('ModelResolver.frontendLogsEnabled', data.frontend_logs_enabled ? 'true' : 'false');
|
|
if (data.backend_logs_enabled !== undefined)
|
|
localStorage.setItem('ModelResolver.backendLogsEnabled', data.backend_logs_enabled ? 'true' : 'false');
|
|
if (data.frontend_log_level !== undefined)
|
|
localStorage.setItem('ModelResolver.frontendLogLevel', String(data.frontend_log_level || 'DEBUG').toUpperCase());
|
|
if (data.backend_log_level !== undefined)
|
|
localStorage.setItem('ModelResolver.backendLogLevel', String(data.backend_log_level || 'DEBUG').toUpperCase());
|
|
|
|
// Source-enabled flags stored as a nested object
|
|
if (data.search_source_enabled && typeof data.search_source_enabled === 'object') {
|
|
Object.entries(data.search_source_enabled).forEach(([key, val]) => {
|
|
if (key) localStorage.setItem(key, val ? 'true' : 'false');
|
|
});
|
|
}
|
|
const tokens = this.getStoredTokens();
|
|
this.applyFrontendLoggingPreference(tokens.frontend_logs_enabled, tokens.frontend_log_level);
|
|
} catch (err) {
|
|
console.warn('Model Resolver: could not load settings from server, using localStorage only.', err);
|
|
const tokens = this.getStoredTokens();
|
|
this.applyFrontendLoggingPreference(tokens.frontend_logs_enabled, tokens.frontend_log_level);
|
|
}
|
|
},
|
|
|
|
clearFrontendSearchCaches() {
|
|
for (const state of this.searchResultCache.values()) {
|
|
state.activeSearchRunId = null;
|
|
}
|
|
this.clearAllSearchProgressTimers();
|
|
for (const job of this.backgroundSearchJobs?.values?.() || []) {
|
|
for (const controller of job.sourceControllers?.values?.() || []) {
|
|
try {
|
|
controller.abort();
|
|
} catch (error) { /* ignore abort cleanup failures */ }
|
|
}
|
|
}
|
|
this.backgroundSearchJobs?.clear();
|
|
this.searchResultCache.clear();
|
|
this.workflowSearchResultCaches.clear();
|
|
this.urnResolvePromises.clear();
|
|
this.urnLocalMatchPromises.clear();
|
|
},
|
|
|
|
async clearBackendSearchCaches({ throwOnError = false } = {}) {
|
|
try {
|
|
const response = await api.fetchApi('/model_resolver/clear-search-cache', {
|
|
method: 'POST'
|
|
});
|
|
if (!response.ok) {
|
|
throw new Error('Failed to clear backend search cache');
|
|
}
|
|
return true;
|
|
} catch (error) {
|
|
console.error('Model Resolver: Clear search cache error:', error);
|
|
if (throwOnError) {
|
|
throw error;
|
|
}
|
|
return false;
|
|
}
|
|
},
|
|
|
|
async clearSearchCaches() {
|
|
this.clearFrontendSearchCaches();
|
|
await this.clearBackendSearchCaches();
|
|
},
|
|
|
|
async clearAllResolverCaches() {
|
|
this.clearFrontendSearchCaches();
|
|
|
|
this.workflowAnalysisCaches.clear();
|
|
this.workflowLoadedModelCaches.clear();
|
|
this.workflowDownloadTargetSelectionCaches?.clear();
|
|
this.cachedAnalysisData = null;
|
|
this.cachedWorkflowSignature = null;
|
|
this.cachedLoadedModelsData = null;
|
|
this.cachedLoadedModelsSignature = null;
|
|
this.allModels = null;
|
|
this.downloadDirectories = null;
|
|
this.downloadRootDirectories = null;
|
|
this.capabilities = null;
|
|
this.baseModels = null;
|
|
this.downloadSubfolders.clear();
|
|
this.downloadTargetSelections?.clear();
|
|
this._analysisProgressToken = null;
|
|
this._workflowDataLoadToken = null;
|
|
this._loadedModelsLoadToken = null;
|
|
|
|
await this.ensureCapabilitiesLoaded();
|
|
await this.ensureBaseModelsLoaded();
|
|
this.refreshMissingListStats?.();
|
|
this.updateBatchFooterButtons?.();
|
|
this.updateDownloadAllButtonState?.();
|
|
|
|
await this.clearBackendSearchCaches({ throwOnError: true });
|
|
}
|
|
};
|