This ComfyUI workflow, titled 'Image to Script to Kling Video Generation,' is designed to transform a static image into a dynamic video using advanced AI models. The process begins with uploading an image, which the system analyzes to create a descriptive script. This script serves as the foundation for generating a video using the Kling 3.0 Omni model. The workflow leverages several nodes, including the GeminiNanoBanana2 for script generation and the KlingOmniProImageToVideoNode for video creation. By utilizing these nodes, the workflow efficiently converts visual elements into a narrative and then into a moving picture, providing a seamless transition from image to video.
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/03ec1a367585.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 "Image to Script to Kling Video Generation" (Python)
from comfy_sdk import Comfy
client = Comfy(api_key="comfyui-...")
# This workflow, exported in API format (see note below)
wf = client.workflows.from_file("template_sirolim_image_script_video_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("16", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("7"): # SaveVideo
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
