351 lines
11 KiB
JavaScript
351 lines
11 KiB
JavaScript
import { app } from "/scripts/app.js";
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import { ComfyWidgets } from "/scripts/widgets.js";
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const COLOR_THEMES = {
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QwenVL: { nodeColor: "#28403f", nodeBgColor: "#374539", width: 340 },
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QwenVLGGUF: { nodeColor: "#474539", nodeBgColor: "#2c4045", width: 340 },
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Tools: { nodeColor: "#28403f", nodeBgColor: "#233238", width: 300 },
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Enhancer: { nodeColor: "#374445", nodeBgColor: "#474539", width: 340 },
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};
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const NODE_COLORS = {
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"AILab_QwenVL": "QwenVL",
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"AILab_QwenVL_Advanced": "QwenVL",
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"AILab_QwenVL_PromptEnhancer": "Enhancer",
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"AILab_QwenVL_GGUF": "QwenVLGGUF",
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"AILab_QwenVL_GGUF_Advanced": "QwenVLGGUF",
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"AILab_QwenVL_GGUF_PromptEnhancer": "Enhancer",
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"AILab_QwenVL_PromptLibrary": "Tools",
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};
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const THINKINGLLM_NODE_NAMES = new Set([
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"AILab_QwenVL",
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"AILab_QwenVL_Advanced",
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"AILab_QwenVL_PromptEnhancer",
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"AILab_QwenVL_GGUF",
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"AILab_QwenVL_GGUF_Advanced",
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"AILab_QwenVL_GGUF_PromptEnhancer",
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"ThinkingLLM_QwenVL",
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"ThinkingLLM_QwenVL_Advanced",
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"ThinkingLLM_QwenVL_PromptEnhancer",
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"ThinkingLLM_QwenVL_GGUF",
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"ThinkingLLM_QwenVL_GGUF_Advanced",
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"ThinkingLLM_QwenVL_GGUF_PromptEnhancer",
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]);
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const GGUF_ADVANCED_INTERNAL_WIDGETS = new Set([
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"legacy_seed_mode",
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"legacy_unload_after_run",
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"n_ubatch",
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"n_threads",
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"n_threads_batch",
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"flash_attn",
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"offload_kqv",
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"ctx_checkpoints",
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]);
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const RECOMMENDATIONS_URL = new URL("../model_recommendations.json", import.meta.url);
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const RECOMMENDATION_WIDGET_NAME = "recommended_settings";
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const RECOMMENDATION_PLACEHOLDER = "Select a model to see provider/community recommended settings. This note never changes your saved widget values.";
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const RECOMMENDATION_FIELDS = ["temperature", "top_p", "top_k", "max_tokens", "ctx_min", "n_batch", "image_max_tokens"];
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let recommendationsPromise = null;
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function loadRecommendations() {
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if (!recommendationsPromise) {
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recommendationsPromise = fetch(RECOMMENDATIONS_URL)
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.then((response) => {
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}`);
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}
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return response.json();
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})
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.then((payload) => Array.isArray(payload?.rules) ? payload.rules : [])
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.catch((error) => {
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console.warn("[ThinkingLLM] Failed to load model recommendations", error);
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return [];
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});
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}
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return recommendationsPromise;
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}
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function setNodeColors(node, theme) {
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if (!theme) { return; }
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if (theme.nodeColor) {
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node.color = theme.nodeColor;
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}
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if (theme.nodeBgColor) {
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node.bgcolor = theme.nodeBgColor;
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}
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if (theme.width) {
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node.size = node.size || [140, 80];
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node.size[0] = theme.width;
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}
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}
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function findWidget(node, name) {
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return node.widgets?.find((widget) => widget.name === name);
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}
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function hideStableWidget(node, widget) {
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if (!widget || widget._thinkingllmHidden) { return; }
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widget._thinkingllmHidden = true;
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widget._thinkingllmOriginalType = widget.type;
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widget._thinkingllmOriginalComputeSize = widget.computeSize;
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widget.hidden = true;
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widget.type = `thinkingllm_hidden_${widget.type || "widget"}`;
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widget.computeSize = () => [0, -4];
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}
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function hideGgufAdvancedInternals(node) {
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if (!["AILab_QwenVL_GGUF_Advanced", "ThinkingLLM_QwenVL_GGUF_Advanced"].includes(node.comfyClass)) {
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return;
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}
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for (const widgetName of GGUF_ADVANCED_INTERNAL_WIDGETS) {
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hideStableWidget(node, findWidget(node, widgetName));
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}
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if (node.widgets?.length) {
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requestAnimationFrame(() => node.setSize([node.size[0], node.computeSize()[1]]));
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}
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}
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function clearHfTokenAfterExecution(node) {
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if (!THINKINGLLM_NODE_NAMES.has(node.comfyClass) || node._thinkingllmClearsToken) {
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return;
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}
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node._thinkingllmClearsToken = true;
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const originalOnExecuted = node.onExecuted;
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node.onExecuted = function (...args) {
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const result = originalOnExecuted?.apply(this, args);
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const tokenWidget = findWidget(this, "hf_token");
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if (tokenWidget?.value) {
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tokenWidget.value = "";
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app.graph?.setDirtyCanvas?.(true, true);
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}
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return result;
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};
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}
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function recommendationScope(node) {
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if ([
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"AILab_QwenVL_GGUF",
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"AILab_QwenVL_GGUF_Advanced",
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"ThinkingLLM_QwenVL_GGUF",
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"ThinkingLLM_QwenVL_GGUF_Advanced",
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"AILab_QwenVL_GGUF_PromptEnhancer",
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"ThinkingLLM_QwenVL_GGUF_PromptEnhancer",
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].includes(node.comfyClass)) {
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return "gguf";
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}
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return "hf";
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}
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function matchRecommendationRule(modelName, rules) {
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const lowered = String(modelName || "").toLowerCase();
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if (!lowered) {
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return null;
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}
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const ordered = [...(rules || [])].sort((left, right) => (right.priority || 0) - (left.priority || 0));
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for (const rule of ordered) {
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const include = Array.isArray(rule?.match_any) ? rule.match_any : [];
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const exclude = Array.isArray(rule?.exclude_any) ? rule.exclude_any : [];
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const matches = include.some((token) => lowered.includes(String(token).toLowerCase()));
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const blocked = exclude.some((token) => lowered.includes(String(token).toLowerCase()));
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if (matches && !blocked) {
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return rule;
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}
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}
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return null;
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}
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function hasWidget(node, widgetName) {
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return Boolean(findWidget(node, widgetName));
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}
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function formatSetting(fieldName, value) {
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if (typeof value !== "number") {
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return null;
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}
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if (fieldName === "ctx_min") {
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return `ctx>=${value}`;
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}
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return `${fieldName}=${value}`;
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}
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function buildModeSummary(node, settings) {
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const parts = [];
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for (const fieldName of RECOMMENDATION_FIELDS) {
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if (!(fieldName in (settings || {}))) {
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continue;
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}
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if (fieldName === "ctx_min") {
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if (!hasWidget(node, "ctx")) {
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continue;
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}
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} else if (fieldName === "top_k") {
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if (!hasWidget(node, "top_k")) {
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continue;
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}
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} else if (!hasWidget(node, fieldName)) {
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continue;
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}
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const formatted = formatSetting(fieldName, settings[fieldName]);
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if (formatted) {
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parts.push(formatted);
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}
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}
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return parts;
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}
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function buildRecommendationText(node, rules) {
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const modelName = String(findWidget(node, "model_name")?.value || "").trim();
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if (!modelName || modelName.startsWith("(no ")) {
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return RECOMMENDATION_PLACEHOLDER;
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}
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const rule = matchRecommendationRule(modelName, rules);
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if (!rule) {
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return [
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"Manual settings guide",
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`No curated recommendation is bundled yet for ${modelName}.`,
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"Your current widget values stay exactly as you set them.",
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].join("\n");
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}
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const thinkingEnabled = Boolean(findWidget(node, "enable_thinking")?.value);
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const activeSettings = thinkingEnabled ? rule.thinking_on : rule.thinking_off;
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const alternateSettings = thinkingEnabled ? rule.thinking_off : rule.thinking_on;
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const activeSummary = buildModeSummary(node, activeSettings);
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const alternateSummary = buildModeSummary(node, alternateSettings);
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const scope = recommendationScope(node);
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const lines = [
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rule.family_label || "Manual settings guide",
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`Current toggle: ${thinkingEnabled ? "thinking ON" : "thinking OFF"}`,
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];
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const supportNote = rule.support_notes?.[scope];
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if (supportNote) {
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lines.push(`Toggle: ${supportNote}`);
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}
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lines.push(`Thinking ON: ${(thinkingEnabled ? activeSummary : alternateSummary).join(" | ") || "use the provider defaults"}`);
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lines.push(`Thinking OFF: ${(thinkingEnabled ? alternateSummary : activeSummary).join(" | ") || "use the provider defaults"}`);
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const softSwitch = rule.support_notes?.soft_switch;
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if (softSwitch) {
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lines.push(`Note: ${softSwitch}`);
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}
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if (Array.isArray(rule.notes) && rule.notes.length) {
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lines.push(`Extra: ${rule.notes[0]}`);
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}
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if (Array.isArray(rule.sources) && rule.sources.length) {
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lines.push(`Sources: ${rule.sources.join(" + ")}`);
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}
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return lines.join("\n");
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}
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function ensureRecommendationWidget(node) {
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if (!THINKINGLLM_NODE_NAMES.has(node.comfyClass)) {
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return null;
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}
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let widget = findWidget(node, RECOMMENDATION_WIDGET_NAME);
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if (widget) {
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return widget;
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}
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widget = ComfyWidgets.STRING(node, RECOMMENDATION_WIDGET_NAME, ["STRING", { multiline: true }], app).widget;
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if (widget?.inputEl) {
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widget.inputEl.readOnly = true;
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widget.inputEl.style.opacity = 0.78;
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widget.inputEl.style.fontSize = "12px";
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widget.inputEl.style.lineHeight = "1.35";
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widget.inputEl.rows = 6;
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}
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widget.options = { ...(widget.options || {}), serialize: false };
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widget.serializeValue = async () => undefined;
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widget.value = RECOMMENDATION_PLACEHOLDER;
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return widget;
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}
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function resizeNode(node) {
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requestAnimationFrame(() => {
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const size = node.computeSize();
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if (size[0] < node.size[0]) {
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size[0] = node.size[0];
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}
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if (size[1] < node.size[1]) {
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size[1] = node.size[1];
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}
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node.setSize(size);
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app.graph?.setDirtyCanvas?.(true, false);
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});
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}
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function updateRecommendationWidget(node) {
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const widget = ensureRecommendationWidget(node);
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if (!widget) {
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return;
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}
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loadRecommendations().then((rules) => {
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widget.value = buildRecommendationText(node, rules);
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resizeNode(node);
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});
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}
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function queueRecommendationRefresh(node) {
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if (!node || node._thinkingllmRecommendationQueued) {
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return;
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}
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node._thinkingllmRecommendationQueued = true;
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requestAnimationFrame(() => {
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node._thinkingllmRecommendationQueued = false;
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updateRecommendationWidget(node);
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});
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}
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function hookRecommendationUpdates(node) {
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if (!THINKINGLLM_NODE_NAMES.has(node.comfyClass) || node._thinkingllmRecommendationHooked) {
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return;
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}
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node._thinkingllmRecommendationHooked = true;
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ensureRecommendationWidget(node);
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for (const widgetName of ["model_name", "enable_thinking"]) {
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const target = findWidget(node, widgetName);
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if (!target || target._thinkingllmRecommendationCallbackHooked) {
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continue;
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}
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target._thinkingllmRecommendationCallbackHooked = true;
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const originalCallback = target.callback;
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target.callback = function (...args) {
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const result = originalCallback?.apply(this, args);
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queueRecommendationRefresh(node);
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return result;
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};
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}
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const originalConfigure = node.onConfigure;
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node.onConfigure = function (...args) {
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const result = originalConfigure?.apply(this, args);
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queueRecommendationRefresh(this);
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return result;
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};
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queueRecommendationRefresh(node);
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}
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const ext = {
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name: "QwenVL.appearance",
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nodeCreated(node) {
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const nclass = node.comfyClass;
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if (NODE_COLORS.hasOwnProperty(nclass)) {
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const colorKey = NODE_COLORS[nclass];
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const theme = COLOR_THEMES[colorKey];
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setNodeColors(node, theme);
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}
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hideGgufAdvancedInternals(node);
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hookRecommendationUpdates(node);
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clearHfTokenAfterExecution(node);
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}
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};
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app.registerExtension(ext); |