This comparison workflow pits three guidance modes of the MiniMax H3 Max model against each other: pure text-to-video, first-frame-to-video (animate from a single image), and first-to-last-frame-to-video (FLF2V). All three paths use the same base model but differ in how much visual constraint you provide. The text-only path is driven by your prompt (via MinimaxHailuo03ContextIRNode), the first-frame path anchors the opening composition, and the FLF2V path uses both the first and last frames (MinimaxHailuo03FirstLastFrameNode) to tightly direct motion, continuity, and lighting from start to finish. The graph also includes an optional Prompt Enhancer stage and an optional 2K upscale branch controlled by ComfySwitchNode and PrimitiveBoolean flags, so you can compare raw vs enhanced prompts and base vs upscaled output in one place.
Methodologically, you run multiple passes with a shared prompt and seed, changing only the guidance mode and/or feature flags. SaveVideo captures each render, while SaveText logs the active settings (prompt, flags, and mode) so you can verify that only a single variable changed between runs. If you enable MinimaxHailuo03RegenerateNode, you can produce controlled alternates—holding the same inputs constant—so differences are attributable to sampling rather than setup drift. Compare the results for prompt faithfulness, motion between keyframes, lighting stability, composition cleanliness, and edge fidelity. For convenience, try the included example assets (dream_face_first.png and dream_face_last.png) to see how first-only vs FLF2V affects transitions.
API
このワークフローをコードから利用
すべてのComfyワークフローはJSONグラフです。以下のペイロードは、このワークフローそのものであり、ComfyUIが実行する内容と同じです — このURLから取得し、バージョン管理に保存したり、ComfyUIで読み込んでノードごとに実行できます。
Comfy SDKを使ってTypeScriptまたはPythonから実行できます。同じコードでComfy Cloudや自身でホストしたComfyUIのどちらにも対応 — ベースURLだけが異なります。
// Install (beta)
npm i @comfyorg/sdk
// Run this workflow (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
const wf = await client.workflows.fromFile("workflow_api.json");
const job = await client.run(wf);
await job.getOutputs("<output-node-id>")[0].toFile("output.png");SDKはAPI形式のワークフローを受け取ります：このワークフローをComfyUIで開き、「ファイル → ワークフローをエクスポート（API）」を使用してください。
