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.
GET https://comfy.org/workflows/download/094c40ffb14f.jsonFetching workflow JSON…
Run it from Python or TypeScript with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
# Install (beta)
pip install comfy-sdk # Python
npm i @comfyorg/sdk # TypeScript
# Run this workflow (Python)
from comfy_sdk import Comfy
client = Comfy(api_key="comfyui-...")
wf = client.workflows.from_file("workflow_api.json")
job = client.run(wf)
for output in job.get_outputs("<output-node-id>"):
output.to_file(output.name)The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API). API access requires a Comfy Cloud plan with an API key. SDK docs · Get an API key
FAQ














