metadata
tags:
- vision
- image-to-image
- endpoints-template
- super-resolution
inference: false
pipeline_tag: image-to-image
base_model: caidas/swin2SR-classical-sr-x2-64
library_name: generic
Fork of caidas/swin2SR-classical-sr-x2-64 for a image-to-image Inference endpoint.
Inspired by https://huggingface.co/sergeipetrov/swin2SR-classical-sr-x2-64-IE
This repository implements a custom task for image-to-image for 🤗 Inference Endpoints to allow image up scaling by doubling image resolution.
The code for the customized pipeline is in the handler.py.
To use deploy this model an Inference Endpoint you have to select Custom as task to use the handler.py file.
expected Request payload
Image to be labeled as binary.
CURL
curl URL \
-X POST \
--data-binary @car.png \
-H "Content-Type: image/png"
Python
requests.post(ENDPOINT_URL, headers={"Content-Type": "image/png"}, data=open("car.png", 'rb').read()).json()