PIDM
DiffusionFastForward
PIDM | DiffusionFastForward | |
---|---|---|
1 | 3 | |
457 | 506 | |
- | - | |
6.2 | 4.4 | |
2 months ago | 11 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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PIDM
DiffusionFastForward
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Using Stable Diffusion's training method for Reverse engineering?
I can recommend this open-source course I made for understanding the details of denoising diffusion for images https://github.com/mikonvergence/DiffusionFastForward
- [R] Training Small Diffusion Model
- [P] A minimal framework for image diffusion (including high-resolution)
What are some alternatives?
dino-diffusion - Bare-bones diffusion model code
Self-Attention-Guidance - Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV 2023)
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
blended-latent-diffusion - Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
diffusion_models - Minimal standalone example of diffusion model
seed-alchemy - Frontend UI and Backend Server for Stable Diffusion models
audio-diffusion - Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
Frido - Research code for paper "Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis"