Seedance 2.0 Mini: Text to Video is a minimal, focused ComfyUI workflow that turns a plain-language prompt into a finished video in one pass. It centers on a single generation node—ByteDance2TextToVideoNode—to call Dreamina’s Seedance 2.0 Mini API, and a SaveVideo node to write the result to disk. Because generation happens via API, your local machine mainly handles orchestration and saving, not heavy rendering. The node accepts your text prompt and key generation settings (such as duration, aspect ratio/resolution, FPS, and seed) and returns a ready-to-save clip.
Technically, the ByteDance2TextToVideoNode encapsulates model inference: it submits your prompt and parameters to Seedance 2.0 Mini, which handles motion, subject fidelity, and scene composition. The model supports AI camera behavior (e.g., dolly, pan, orbit-like motion) through prompt cues and/or any dedicated camera fields exposed by the node. For character continuity across multiple shots, keep a stable character description and reuse the same seed between runs. The downstream SaveVideo node then encodes the returned video stream to a file format supported by your ComfyUI/FFmpeg setup, typically MP4 or WebM.
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）。
常见问题
