cinematic_annotate_video turns a single clean image into a short, smooth, cinematic shot by auto-writing a director-style camera path and translating it into a Seedance 2.0 motion prompt. The workflow starts with LoadImage and passes your frame into GeminiImage2Node, which analyzes the scene and generates camera-path markup using the "Nano Banana 2" annotation style. That markup is then refined/formatted by GeminiNode into a Seedance 2.0 motion specification.
The Seedance 2.0 prompt and your original image are fed into ByteDance2ReferenceNode to synthesize the motion while preserving the look of the source frame. PreviewImage and PreviewAny help you inspect the input frame and the auto-generated text prompts before you commit to a render. Finally, SaveVideo writes the result to disk. Groups are organized for clarity: Annotate Image (image analysis and camera notes), Prompt (LLM formatting to Seedance 2.0), and Seedance 2.0 (reference-driven video generation).
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/0136284ecc19.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
