The 'Kling2.0: Image to Video' workflow in ComfyUI is designed to transform static images into dynamic video sequences with a high degree of prompt adherence. Utilizing the Kling and Kling 2.0 models, this workflow excels in capturing intricate actions, expressions, and camera movements, ensuring that the generated video aligns closely with the specified prompts. The workflow incorporates several key nodes, including the KlingImage2VideoNode for processing images into videos, the LoadImage node for importing images, and the SaveVideo node for exporting the final video output. A MarkdownNote node is also included to provide users with detailed instructions and notes directly within the workflow interface. This setup is particularly useful for content creators and developers who need to generate videos that require precise control over visual elements and narrative flow.
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/39f7098079f8.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
