The Kling: Avatar 2.0 workflow is designed to transform a static portrait into a dynamic talking avatar video. By uploading a portrait image and an accompanying audio file, users can generate a video where the avatar's lip movements and facial expressions are synchronized with the audio. This workflow is powered by the Kling model, which specializes in realistic lip-syncing and facial animation. The key nodes in this workflow include the LoadImage and LoadAudio nodes, which are responsible for importing the necessary media files. The KlingAvatarNode processes these inputs to create the animated avatar, and finally, the SaveVideo node exports the completed video file. This workflow is particularly useful for creating engaging video content without the need for complex animation skills.
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/e81f8eb0ee5f.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
