This ComfyUI workflow leverages Runway's AI model to transform text prompts into high-quality images. At the heart of this workflow is the RunwayTextToImageNode, which interprets textual descriptions and generates corresponding visual content. This node is complemented by the LoadImage and SaveImage nodes, which handle the input and output of images, respectively. Additionally, the MarkdownNote node is used to document the process and provide guidance within the workflow. The integration of these nodes allows users to seamlessly convert creative ideas into visual representations, making it particularly useful for artists, designers, and content creators who require quick and reliable image generation from text descriptions.
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/dff780783fbe.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 "Runway: Text to Image" (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_runway_text_to_image_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("5", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("6"): # SaveImage
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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