This ComfyUI tutorial workflow shows how to generate a complete, synchronized video-with-audio clip directly from text using the MiniMaxH3ImageToVideo node (node id 4c314f31-ecda-4b08-ae98-faaba1bf613f) and the FastVideo FastH3 8-Step V2 checkpoint. The model is DMD2‑distilled to run in just eight denoising steps, which dramatically reduces generation time while maintaining coherent motion and audio alignment. No image or audio files are required—only a text prompt. A ResolutionSelector node feeds clean width/height (and commonly FPS/duration presets) into the generator so you can switch aspect ratios without manually reconfiguring multiple inputs. The SaveVideo node then muxes the decoded video frames and the generated audio into a single MP4 output.

Under the hood, the generator produces temporally consistent video latents and synchronized audio latents from your text prompt. These are decoded by the MiniMax H3 VAEs—minimax_h3_video_vae_fp16.safetensors for frames and minimax_h3_audio_vae_fp32.safetensors for sound—before being passed to SaveVideo. Because the checkpoint is distilled for eight steps, you get fast turnarounds that are ideal for rapid prototyping, ideation, and storyboarding. A MarkdownNote in the canvas explains the task setup and links to the subgraph guide in case you want to inspect or customize the encapsulated nodes.

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。

4707fc533d15.json
正在获取工作流 JSON…

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)。

Comfy Cloud API 访问需要包含 API 密钥的套餐。

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