Add custom nodes, Civitai loras (LFS), and vast.ai setup script

Includes 30 custom nodes committed directly, 7 Civitai-exclusive
loras stored via Git LFS, and a setup script that installs all
dependencies and downloads HuggingFace-hosted models on vast.ai.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

custom_nodes/rgthree-comfy/web/common/utils_workflow.js

@@ -0,0 +1,55 @@
+import { getResolver } from "./shared_utils.js";
+import { getPngMetadata, getWebpMetadata } from "./comfyui_shim.js";
+function parseWorkflowJson(stringJson) {
+    stringJson = stringJson || "null";
+    stringJson = stringJson.replace(/:\s*NaN/g, ": null");
+    return JSON.parse(stringJson);
+}
+export async function tryToGetWorkflowDataFromEvent(e) {
+    var _a, _b, _c, _d;
+    let work;
+    for (const file of ((_a = e.dataTransfer) === null || _a === void 0 ? void 0 : _a.files) || []) {
+        const data = await tryToGetWorkflowDataFromFile(file);
+        if (data.workflow || data.prompt) {
+            return data;
+        }
+    }
+    const validTypes = ["text/uri-list", "text/x-moz-url"];
+    const match = (((_b = e.dataTransfer) === null || _b === void 0 ? void 0 : _b.types) || []).find((t) => validTypes.find((v) => t === v));
+    if (match) {
+        const uri = (_d = (_c = e.dataTransfer.getData(match)) === null || _c === void 0 ? void 0 : _c.split("\n")) === null || _d === void 0 ? void 0 : _d[0];
+        if (uri) {
+            return tryToGetWorkflowDataFromFile(await (await fetch(uri)).blob());
+        }
+    }
+    return { workflow: null, prompt: null };
+}
+export async function tryToGetWorkflowDataFromFile(file) {
+    var _a;
+    if (file.type === "image/png") {
+        const pngInfo = await getPngMetadata(file);
+        return {
+            workflow: parseWorkflowJson(pngInfo === null || pngInfo === void 0 ? void 0 : pngInfo.workflow),
+            prompt: parseWorkflowJson(pngInfo === null || pngInfo === void 0 ? void 0 : pngInfo.prompt),
+        };
+    }
+    if (file.type === "image/webp") {
+        const pngInfo = await getWebpMetadata(file);
+        const workflow = parseWorkflowJson((pngInfo === null || pngInfo === void 0 ? void 0 : pngInfo.workflow) || (pngInfo === null || pngInfo === void 0 ? void 0 : pngInfo.Workflow) || "null");
+        const prompt = parseWorkflowJson((pngInfo === null || pngInfo === void 0 ? void 0 : pngInfo.prompt) || (pngInfo === null || pngInfo === void 0 ? void 0 : pngInfo.Prompt) || "null");
+        return { workflow, prompt };
+    }
+    if (file.type === "application/json" || ((_a = file.name) === null || _a === void 0 ? void 0 : _a.endsWith(".json"))) {
+        const resolver = getResolver();
+        const reader = new FileReader();
+        reader.onload = async () => {
+            const json = parseWorkflowJson(reader.result);
+            const isApiJson = Object.values(json).every((v) => v.class_type);
+            const prompt = isApiJson ? json : null;
+            const workflow = !isApiJson && !(json === null || json === void 0 ? void 0 : json.templates) ? json : null;
+            return { workflow, prompt };
+        };
+        return resolver.promise;
+    }
+    return { workflow: null, prompt: null };
+}