This workflow demonstrates how to drive MiniMax H3 video generation with multiple image anchors placed anywhere along the timeline. The core MiniMaxH3ReferenceToVideo node takes a long-form prompt (via PrimitiveStringMultiline) and up to four reference frames, each with its own timestamp and strength (PrimitiveInt and PrimitiveFloat), to steer motion, framing, and subject continuity at specific moments. ResolutionSelector and ComfyMathExpression set clean, multiple-of-32 dimensions, while RandomNoise provides a seed for reproducibility.
Under the hood, H3 returns video and native stereo audio as model latents. VAEDecode converts the video latents to RGB frames, and VAEDecodeAudio decodes the audio stream. CreateVideo assembles frames at the chosen FPS and muxes the decoded audio; SaveVideo then writes the final file to disk. ComfySwitchNode lets you quickly enable/disable individual reference anchors or the audio path. The workflow is grouped for clarity (User Inputs, Conditioning, Extra Image Guidance Conditioning, Video Settings, Decoding and create video), so you can focus on anchoring key frames to force narrative beats, continue an existing clip, or produce tightly timed social content with synchronized audio.
Advanced nodes like UNETLoader, CLIPLoader, VAELoader, BasicScheduler, SamplerCustomAdvanced, and BasicGuider are included for compatibility and potential extension, but the default H3 path works out of the box. If you want to customize dimensions beyond the presets, remove the ResolutionSelector and drive width/height directly (PrimitiveInt), keeping both divisible by 32 for stable decoding.
API
通过代码使用此工作流
每个 Comfy 工作流都是一个 JSON 图。下面的内容就是此工作流的完整数据，ComfyUI 运行时也是如此——你可以从该 URL 获取、放入版本控制，或在 ComfyUI 中加载并逐节点运行。
使用 Comfy SDK 从 TypeScript 或 Python 运行。相同代码可用于 Comfy Cloud 或你自托管的 ComfyUI——只需更改基础 URL。
// 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 需要 API 格式的工作流：在 ComfyUI 中打开此工作流，使用 文件 → 导出工作流（API）。
