Seedance 2.0 + LLM Prompt Helper streamlines prompt creation for ByteDance/Seedance-style video generation by pairing two reference images with a short scene description. The workflow routes your images through LoadImage and ImageConcanate to form a clear, side-by-side visual context, which the GeminiNode then analyzes along with your text to draft a Seedance 2.0–formatted prompt. PreviewAny lets you inspect and copy the LLM’s output before it’s sent on, while PreviewImage helps you sanity-check your references.
Once you’re happy with the generated prompt, it feeds into ByteDance2ReferenceNode (the Seedance 2.0 runner) to produce the motion result. You can review frames with PreviewAny/PreviewImage (as applicable) and export the final animation via SaveVideo. A MarkdownNote in the canvas documents tips and conventions the LLM uses so the prompt it produces aligns with Seedance 2.0’s expected structure and tags. The result: you spend less time reverse-engineering prompt syntax and more time iterating on visuals and motion.
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/49a2f3a0811f.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
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