The 'Vidu Q2: Image to Video' workflow is designed to transform static images into dynamic 1080p videos, offering cinematic camera control and maintaining multi-subject consistency throughout the video. This workflow leverages the capabilities of the Vidu Q2 model, which is specifically optimized for generating high-quality video content from still images. By utilizing nodes such as LoadImage, Vidu2ImageToVideoNode, and SaveVideo, users can seamlessly convert their images into videos with professional-grade effects. The LoadImage node initializes the process by importing the desired image into the workflow. The Vidu2ImageToVideoNode then takes over, applying sophisticated algorithms to animate the image, ensuring smooth transitions and consistent subject representation across frames. Finally, the SaveVideo node compiles the generated frames into a cohesive video file ready for export.
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/9173ef378024.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 "Vidu Q2: Image to Video" (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("api_vidu_q2_i2v_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("40", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("37"): # 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
