Seedance2.0 Real Human: FLF2V is a ComfyUI workflow that verifies a real person’s identity once and then generates a personalized video where both the first and last frames are constrained by your chosen references. It uses ByteDanceCreateImageAsset to upload and verify a reference photo, returning an Asset or Access ID and a Group ID to keep all assets for the same person linked. Video generation is handled by the ByteDance2FirstLastFrameNode, which calls the Seedance 2.0 FLF2V model to condition the opening and closing frames while smoothly interpolating motion in between. PreviewAny lets you inspect results in-graph, and SaveVideo writes the final clip to disk.
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
// 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");The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).
Comfy Cloud API access requires a plan with an API key.
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