This ComfyUI workflow focuses on upscaling images using traditional interpolation methods, providing a balance between speed and quality. The workflow employs a series of nodes, starting with 'LoadImage' to import the original image. The 'ImageScaleBy' node is then used to upscale the image by a specified factor, utilizing traditional interpolation algorithms such as bilinear or bicubic. These methods are known for their efficiency and ability to preserve the overall look of the image without introducing significant artifacts. Finally, the 'SaveImage' node allows you to export the upscaled image, while the 'ImageCompare' node can be used to evaluate the differences between the original and upscaled images. This workflow is particularly useful for users who need quick image enlargement without the computational overhead of AI-based methods.
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/a9294d9380a6.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 Upscale: Traditional Interpolation" (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("utility_interpolation_image_upscale_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("2", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("5"): # 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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