This ComfyUI workflow generates short videos—up to 15 seconds—using the Grok model, with an automatically synchronized audio track. At its core is the GrokVideoNode, which accepts either a pure text prompt (text-to-video) or a starting frame from LoadImage (image-to-video). The node handles inference and returns a ready-to-save video clip that pairs the visuals with audio produced by the model. SaveVideo then writes the result to disk as a standard video file, preserving the embedded audio when present.
Technically, the workflow is minimal and direct: LoadImage (optional) feeds an initial frame into GrokVideoNode, which synthesizes the motion and soundtrack from your prompt and/or reference image, and SaveVideo commits the output to a file. Keeping duration capped at 15 seconds ensures responsive generation and stays within the model’s capabilities. The result is a practical pipeline for rapid concepting, animating stills, or creating short social-ready clips without leaving ComfyUI.
API
從程式碼使用此工作流
每個 Comfy 工作流都是一個 JSON 圖。下方的 payload 就是此工作流，與 ComfyUI 執行時完全相同 — 你可以從此 URL 取得、放入版本控制，或在 ComfyUI 載入並逐節點執行。
使用 Comfy SDK 以 TypeScript 或 Python 執行。相同程式碼可用於 Comfy Cloud 或你自架的 ComfyUI — 只需更改 base URL。
// Install (beta)
npm i @comfyorg/sdk
// Run "Grok：影片產生" (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
// This workflow, exported in API format (see note below)
const wf = await client.workflows.fromFile("api_grok_video_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("3", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("2")[0].toFile("output.png"); // SaveVideoSDK 需使用 API 格式的工作流：請在 ComfyUI 開啟此工作流，並使用 檔案 → 匯出工作流（API）。
常見問題
