This ComfyUI workflow is designed for seamless sky replacement in videos, utilizing advanced AI models from Wan. By leveraging nodes such as WanVideoVAELoader and WanVideoModelLoader, the workflow efficiently loads and processes video data. The core of the technique involves using the WanVideoSampler and WanVideoDecode nodes to synthesize and integrate new sky visuals into existing video footage. What sets this workflow apart is its ability to maintain high production quality while ensuring that the new skies blend naturally with the original video content. The workflow also incorporates the CLIPVisionLoader and WanVideoClipVisionEncode nodes to enhance the semantic understanding of the footage, ensuring that the sky replacements are contextually appropriate. This makes the workflow particularly useful for filmmakers and content creators looking to enhance their video projects with dynamic sky changes without compromising on quality.
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/537cf7f1f745.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
