metadata
license: mit
tags:
- image-to-image
datasets:
- fka/awesome-chatgpt-prompts
language:
- ab
metrics:
- accuracy
base_model:
- stabilityai/stable-diffusion-3.5-large
new_version: microsoft/OmniParser
pipeline_tag: translation
library_name: adapter-transformers
Notes
- This model is a trained version of the Keras Tutorial Image Super Resolution
- The model has been trained on inputs of dimension 100x100 and outputs images of 300x300.
Link to a pyimagesearch tutorial I worked on, where we have used Residual blocks along with the Efficient sub pixel net.