DiffusionFastForward
Self-Attention-Guidance
DiffusionFastForward | Self-Attention-Guidance | |
---|---|---|
3 | 2 | |
506 | 194 | |
- | - | |
4.4 | 5.7 | |
11 months ago | 7 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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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)
Self-Attention-Guidance
- Looks like a HUGE improvement for free
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Improving Sample Quality of Diffusion Models Using Self-Attention Guidance [Demo]
Github : https://github.com/KU-CVLAB/Self-Attention-Guidance
What are some alternatives?
dino-diffusion - Bare-bones diffusion model code
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Self-Attention-Guidance - The implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV`23)
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"