- Workflow widget text now only replaces API text for metadata showing the pre-3.2.3 corruption signature (2+ PromptManager nodes with identical API text but different widgets). Otherwise the API graph wins, so expanded dynamic prompts and linked text display what actually ran. - Images with only a UI workflow are converted to the API graph shape and traced the same way: prompts, KSamplerAdvanced, UNET/checkpoint loaders, KJNodes Set/Get, Reroute, bypassed and muted nodes.
339 lines
15 KiB
JavaScript
339 lines
15 KiB
JavaScript
/**
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* Generation-parameter extraction from ComfyUI PNG metadata (#75).
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*
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* Works on the API-format `prompt` graph ({id: {class_type, inputs}}) by
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* tracing links from the sampler, instead of guessing by node type or by
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* keywords in the text. Falls back to the UI `workflow` graph only for
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* fields the API graph could not provide.
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*
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* Shared by admin.js, gallery.js and metadata.html; also loadable in Node
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* for tests.
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*/
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(function (root) {
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"use strict";
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const PLACEHOLDERS = Object.freeze({
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positivePrompt: "No prompt found",
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negativePrompt: "No negative prompt found",
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checkpoint: "Unknown",
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steps: "Unknown",
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cfgScale: "Unknown",
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sampler: "Unknown",
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seed: "Unknown",
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});
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// Upper bound on nodes expanded per lookup; crafted PNGs can contain any graph
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const MAX_VISITS = 500;
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const MODEL_NAME_KEYS = ["ckpt_name", "unet_name", "model_name", "gguf_name"];
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const TEXT_KEYS = /^(text|string|prompt|value)(_?[a-z0-9]+)?$/i;
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const SEED_CONTROL_VALUES = new Set(["fixed", "increment", "decrement", "randomize"]);
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const isLink = (v) =>
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Array.isArray(v) &&
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v.length === 2 &&
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(typeof v[0] === "string" || typeof v[0] === "number") &&
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typeof v[1] === "number";
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// KSampler or a guider (CFGGuider); the model link excludes ControlNet-style pass-throughs
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const isSampler = (node) =>
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node &&
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node.inputs &&
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isLink(node.inputs.positive) &&
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isLink(node.inputs.negative) &&
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isLink(node.inputs.model);
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// SamplerCustomAdvanced-style nodes split settings across noise/sampler/sigmas nodes
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const isCustomSampler = (node) =>
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node && node.inputs && isLink(node.inputs.guider) && isLink(node.inputs.sigmas);
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const workflowNodes = (workflow) => (Array.isArray(workflow && workflow.nodes) ? workflow.nodes : []);
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const widgetsOf = (n) => (Array.isArray(n.widgets_values) ? n.widgets_values : []);
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/**
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* Tracing context: the API graph plus recovered text for PromptManager nodes
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* whose saved `text` was corrupted.
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*
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* Before 3.2.3 a SaveImage patch overwrote every PromptManager node's `text`
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* with the last-run node's prompt. The signature is two or more PromptManager
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* nodes with identical API text whose workflow widgets differ; only those get
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* their workflow widget text back. Otherwise the API graph is what actually ran
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* (expanded dynamic prompts, linked text) and always wins.
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*/
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function createContext(graph, workflow) {
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const widgets = new Map();
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for (const n of workflowNodes(workflow)) {
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const text = widgetsOf(n)[0];
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if (/promptmanager/i.test(n.type || "") && typeof text === "string") {
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widgets.set(String(n.id), text);
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}
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}
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const byApiText = new Map();
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for (const id of widgets.keys()) {
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const apiText = graph[id] && graph[id].inputs && graph[id].inputs.text;
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if (typeof apiText !== "string") continue;
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byApiText.set(apiText, [...(byApiText.get(apiText) || []), id]);
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}
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const widgetText = new Map();
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for (const ids of byApiText.values()) {
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const distinctWidgets = new Set(ids.map((id) => widgets.get(id)));
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if (ids.length > 1 && distinctWidgets.size > 1) {
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ids.forEach((id) => widgetText.set(id, widgets.get(id)));
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}
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}
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return { graph, widgetText };
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}
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/**
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* Returns [nodeId, node] for a link, or [] when it does not resolve or the node
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* was already expanded in this lookup. The shared `seen` set keeps every lookup
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* linear in graph size, even for cyclic or heavily fanned-out graphs.
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*/
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function enter(ctx, link, seen) {
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if (!isLink(link) || seen.size >= MAX_VISITS) return [];
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const id = String(link[0]);
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const node = ctx.graph[id];
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if (!node || !node.inputs || seen.has(id)) return [];
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seen.add(id);
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return [id, node];
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}
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/**
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* Resolve a scalar input, following a link to a primitive node if needed.
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* Multi-output settings nodes (e.g. SamplerCombo) expose several values, so an
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* input with the same `name` as the requested field wins over the first scalar.
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*/
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function resolveScalar(ctx, value, name, seen = new Set()) {
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if (!isLink(value)) return value;
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const [, node] = enter(ctx, value, seen);
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if (!node) return undefined;
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if (name && Object.prototype.hasOwnProperty.call(node.inputs, name)) {
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return resolveScalar(ctx, node.inputs[name], name, seen);
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}
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for (const v of Object.values(node.inputs)) {
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const resolved = resolveScalar(ctx, v, name, seen);
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if (resolved !== undefined && typeof resolved !== "object") return resolved;
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}
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return undefined;
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}
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/** Read the first of `keys` from the node a link points to, resolving further links. */
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function resolveLinkedInput(ctx, link, keys) {
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const seen = new Set();
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const [, node] = enter(ctx, link, seen);
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if (!node) return undefined;
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const key = keys.find((k) => k in node.inputs);
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return key === undefined ? undefined : resolveScalar(ctx, node.inputs[key], key, seen);
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}
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/** Resolve a string input; text-producing nodes may be chained (concat, primitives). */
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function resolveString(ctx, value, seen = new Set()) {
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if (typeof value === "string") return value;
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const [id, node] = enter(ctx, value, seen);
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if (!node) return "";
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if ("text" in node.inputs) return composeNodeText(ctx, id, node, seen);
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const delimiter = typeof node.inputs.delimiter === "string" ? node.inputs.delimiter : " ";
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return Object.entries(node.inputs)
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.filter(([key]) => TEXT_KEYS.test(key))
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.map(([, v]) => resolveString(ctx, v, seen))
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.filter((s) => s.trim())
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.join(delimiter);
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}
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/** Text of an encoder node, matching PromptManager's prepend + text + append join. */
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function composeNodeText(ctx, id, node, seen) {
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const { inputs } = node;
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const raw = ctx.widgetText.has(id) ? ctx.widgetText.get(id) : resolveString(ctx, inputs.text, seen);
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const text = raw.trim();
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if (!text) return "";
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// One shared set even across siblings: copying it per branch reintroduces
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// exponential work on crafted chains
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const prepend = resolveString(ctx, inputs.prepend_text, seen).trim();
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const append = resolveString(ctx, inputs.append_text, seen).trim();
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// Older saves stored the already-combined prompt in `text`
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return [
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prepend && !text.startsWith(prepend) ? prepend : "",
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text,
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append && !text.endsWith(append) ? append : "",
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]
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.filter(Boolean)
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.join(" ");
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}
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/** Follow a conditioning link upstream to the encoder that produced it. */
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function traceConditioning(ctx, link, role, seen = new Set()) {
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const [id, node] = enter(ctx, link, seen);
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if (!node) return "";
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if ("text" in node.inputs) return composeNodeText(ctx, id, node, seen);
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// Pass-through nodes (ControlNet apply, conditioning combine/set area, ...)
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const { inputs } = node;
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const next = inputs[role] || inputs.conditioning || inputs.conditioning_to || inputs.conditioning_1;
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return traceConditioning(ctx, next, role, seen);
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}
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/** Follow the sampler's model link upstream (through LoRA loaders etc.) to a loader. */
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function traceModelName(ctx, link, seen = new Set()) {
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const [, node] = enter(ctx, link, seen);
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if (!node) return undefined;
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const key = MODEL_NAME_KEYS.find((k) => typeof node.inputs[k] === "string");
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return key ? node.inputs[key] : traceModelName(ctx, node.inputs.model, seen);
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}
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function findAnyModelName(nodes) {
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for (const node of nodes) {
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const inputs = (node && node.inputs) || {};
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const key = MODEL_NAME_KEYS.find((k) => typeof inputs[k] === "string");
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if (key) return inputs[key];
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}
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return undefined;
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}
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function fromPromptGraph(graph, workflow) {
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const ctx = createContext(graph, workflow);
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const nodes = Object.values(graph);
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const custom = nodes.find(isCustomSampler);
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const [, guider] = custom ? enter(ctx, custom.inputs.guider, new Set()) : [];
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const sampler = isSampler(guider) ? guider : nodes.find(isSampler);
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if (!sampler) {
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const loose = nodes.find((n) => n && n.inputs && /ksampler/i.test(n.class_type || ""));
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const inputs = (loose && loose.inputs) || {};
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return {
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checkpoint: findAnyModelName(nodes),
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seed: resolveScalar(ctx, inputs.seed ?? inputs.noise_seed, "seed"),
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steps: resolveScalar(ctx, inputs.steps, "steps"),
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cfgScale: resolveScalar(ctx, inputs.cfg, "cfg"),
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sampler: resolveScalar(ctx, inputs.sampler_name, "sampler_name"),
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};
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}
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const { inputs } = sampler;
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const fromCustom = (link, keys) => (custom ? resolveLinkedInput(ctx, link, keys) : undefined);
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return {
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positivePrompt: traceConditioning(ctx, inputs.positive, "positive"),
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negativePrompt: traceConditioning(ctx, inputs.negative, "negative"),
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checkpoint: traceModelName(ctx, inputs.model) || findAnyModelName(nodes),
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seed:
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resolveScalar(ctx, inputs.seed ?? inputs.noise_seed, "seed" in inputs ? "seed" : "noise_seed") ??
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fromCustom(custom && custom.inputs.noise, ["noise_seed", "seed"]),
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steps: resolveScalar(ctx, inputs.steps, "steps") ?? fromCustom(custom && custom.inputs.sigmas, ["steps"]),
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cfgScale: resolveScalar(ctx, inputs.cfg, "cfg"),
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sampler:
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resolveScalar(ctx, inputs.sampler_name, "sampler_name") ??
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fromCustom(custom && custom.inputs.sampler, ["sampler_name"]),
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};
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}
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// Widget order for core nodes, used when a workflow carries no widget names
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const PROMPT_MANAGER_WIDGETS = ["text", "category", "tags", "search_text", "prepend_text", "append_text"];
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const WIDGET_POSITIONS = {
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KSampler: ["seed", "steps", "cfg", "sampler_name", "scheduler", "denoise"],
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KSamplerAdvanced: [
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"add_noise", "noise_seed", "steps", "cfg", "sampler_name", "scheduler",
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"start_at_step", "end_at_step", "return_with_leftover_noise",
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],
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CLIPTextEncode: ["text"],
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PromptManager: PROMPT_MANAGER_WIDGETS,
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PromptManagerText: PROMPT_MANAGER_WIDGETS,
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CheckpointLoader: ["config_name", "ckpt_name"],
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UNETLoader: ["unet_name", "weight_dtype"],
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};
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const PASS_THROUGH_TYPES = new Set(["Reroute", "GetNode", "SetNode"]);
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const MODE_MUTED = 2;
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const MODE_BYPASSED = 4;
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function widgetNames(n) {
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const fromInputs = (n.inputs || []).filter((i) => i && i.widget && i.widget.name).map((i) => i.widget.name);
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if (fromInputs.length) return fromInputs;
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if (WIDGET_POSITIONS[n.type]) return WIDGET_POSITIONS[n.type];
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if (/checkpointloader/i.test(n.type || "")) return ["ckpt_name"];
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if (/unet/i.test(n.type || "")) return ["unet_name"];
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return [];
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}
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/** Map a workflow node's widget values to input names, skipping control_after_generate. */
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function namedWidgets(n) {
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const named = n.widgets_values_named;
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if (named && typeof named === "object" && !Array.isArray(named)) return { ...named };
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const values = widgetsOf(n);
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const out = {};
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let v = 0;
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for (const name of widgetNames(n)) {
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if (v >= values.length) break;
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out[name] = values[v++];
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if (/seed$/.test(name) && SEED_CONTROL_VALUES.has(values[v])) v++;
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}
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return out;
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}
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/**
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* Convert a UI workflow ({nodes, links}) into the API graph shape so images
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* without a `prompt` chunk are traced the same way. Set/Get pairs, Reroutes and
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* bypassed nodes are resolved to their real source; muted nodes are dropped.
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*/
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function workflowToGraph(workflow) {
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const nodes = workflowNodes(workflow).filter((n) => n && n.id !== undefined && n.id !== null);
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const byId = new Map(nodes.map((n) => [String(n.id), n]));
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const links = new Map();
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for (const l of Array.isArray(workflow && workflow.links) ? workflow.links : []) {
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if (Array.isArray(l)) links.set(l[0], { from: l[1], slot: l[2], type: l[5] });
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else if (l && typeof l === "object") links.set(l.id, { from: l.origin_id, slot: l.origin_slot, type: l.type });
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}
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const setters = new Map();
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for (const n of nodes) {
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if (n.type === "SetNode") setters.set(widgetsOf(n)[0], n.inputs && n.inputs[0] && n.inputs[0].link);
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}
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const source = (linkId, hops = 0) => {
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const link = links.get(linkId);
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const node = link && byId.get(String(link.from));
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if (!node || node.mode === MODE_MUTED || hops > MAX_VISITS) return undefined;
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const next = (id) => source(id, hops + 1);
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if (node.type === "Reroute") return next(node.inputs && node.inputs[0] && node.inputs[0].link);
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if (node.type === "GetNode") return next(setters.get(widgetsOf(node)[0]));
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if (node.mode === MODE_BYPASSED) {
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const same = (node.inputs || []).find(
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(i) => i && i.link !== null && i.link !== undefined && (!link.type || link.type === "*" || i.type === link.type),
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);
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return same ? next(same.link) : undefined;
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}
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return [String(node.id), link.slot];
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};
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const graph = {};
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for (const n of nodes) {
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if (n.mode === MODE_MUTED || n.mode === MODE_BYPASSED || PASS_THROUGH_TYPES.has(n.type)) continue;
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const inputs = namedWidgets(n);
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for (const i of n.inputs || []) {
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const src = i && i.link !== null && i.link !== undefined ? source(i.link) : undefined;
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if (src) inputs[i.name] = src;
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}
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graph[String(n.id)] = { class_type: n.type, inputs };
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}
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return graph;
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}
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const hasValue = (v) => v !== undefined && v !== null && v !== "";
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/**
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* @param {{prompt?: Object, workflow?: Object}} comfyData - Parsed PNG metadata
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* @returns {{positivePrompt, negativePrompt, checkpoint, steps, cfgScale, sampler, seed}}
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*/
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function extractGenerationParams(comfyData) {
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const data = comfyData || {};
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const primary =
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data.prompt && typeof data.prompt === "object" ? fromPromptGraph(data.prompt, data.workflow) : {};
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const fallback = data.workflow ? fromPromptGraph(workflowToGraph(data.workflow), null) : {};
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const merged = {};
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for (const key of Object.keys(PLACEHOLDERS)) {
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const value = hasValue(primary[key]) ? primary[key] : fallback[key];
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merged[key] = hasValue(value) ? value : PLACEHOLDERS[key];
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}
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return merged;
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}
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const api = { extractGenerationParams, PLACEHOLDERS };
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if (typeof module !== "undefined" && module.exports) module.exports = api;
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else root.ComfyMetadata = api;
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})(typeof window !== "undefined" ? window : globalThis);
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