This ComfyUI tutorial workflow turns a single still image into a short video with synchronized, auto-generated audio using the MiniMax H3 family via the FastVideo FastH3 8-Step V2 checkpoint. The pipeline is simple and fast: LoadImage reads your source, ImageScaleToTotalPixels (assisted by GetImageSize) rescales it to a GPU-friendly pixel budget while preserving aspect ratio, and the MiniMaxH3ImageToVideo node (id: 4c314f31-ecda-4b08-ae98-faaba1bf613f) renders both video frames and a native audio track in one pass. SaveVideo then writes an MP4 output that includes the model’s audio when available.
FastH3 8-Step V2 is a DMD2-distilled variant of MiniMax H3 that cuts inference to just 8 sampling steps, delivering much faster turnaround than the base model while maintaining audio/video synchronization. The workflow uses the minimax_h3_video_vae_fp16.safetensors VAE and the FastVideo/FastVideo-FastH3-8-Step-V2 checkpoint, giving you a practical, single-image-to-video path that’s ideal for animating portraits, product shots, and quick social clips without extra audio post-processing.
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）。
