latent-diffusion-superresolution

Latent Diffusion - Super-resolution

Input

(Image from https://colab.research.google.com/drive/1xqzUi2iXQXDqXBHQGP9Mqt2YrYW6cx-J?usp=sharing)

Output

Usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

$ python3 latent-diffusion-superresolution.py

If you want to specify the input image, put the image path after the --input option.
You can use --savepath option to change the name of the output file to save.

$ python3 latent-diffusion-superresolution.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

Reference

• Latent Diffusion Models

Framework

Pytorch

Model Format

ONNX opset=12

Netron

diffusion_model.onnx.prototxt
first_stage_decode.onnx.prototxt