Diffusion model forward
Code
It includes notebooks that can be run stand-alone:
- 01-Diffusion-Sandbox - visualizations of the diffusion process
- 02-Pixel-Diffusion - basic diffusion suitable for low-resolution data
- 03-Conditional-Pixel-Diffusion - image translation with diffusion for low-resolution data
- 04-Latent-Diffusion - latent diffusion suitable for high-resolution data
- 05-Conditional-Latent-Diffusion - image translation with latent diffusion
Dependencies
Assuming torch
and torchvision
is installed:
1
pip install pytorch-lightning==1.9.3 diffusers einops
:bulb: Notes
Short summary notes are released as part of this repository and they overlap semantically with the notebooks!
- 01-Diffusion-Theory - visualizations of the diffusion process
- 02-Pixel-Diffusion - basic diffusion suitable for low-resolution data
- 03-Conditional-Pixel-Diffusion - image translation with diffusion for low-resolution data
- 04-Latent-Diffusion - latent diffusion suitable for high-resolution data
- 05-Conditional-Latent-Diffusion - image translation with latent diffusion
Tài liệu tham khảo
Internet
Hết.