audio-diffusion
DiffusionFastForward
audio-diffusion | DiffusionFastForward | |
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1 | 3 | |
653 | 502 | |
- | - | |
5.0 | 4.4 | |
6 months ago | 11 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | MIT License |
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audio-diffusion
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?
riffusion-inference - Stable diffusion for real-time music generation [Moved to: https://github.com/riffusion/riffusion-inference]
dino-diffusion - Bare-bones diffusion model code
bumblebee - Pre-trained Neural Network models in Axon (+ 🤗 Models integration)
Self-Attention-Guidance - Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV 2023)
sd-webui-riffusion - Riffusion extension for AUTOMATIC1111's SD Web UI
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
riffusion-app - Stable diffusion for real-time music generation [Moved to: https://github.com/riffusion/riffusion-app]
blended-latent-diffusion - Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
spleeter - Deezer source separation library including pretrained models.
diffusion_models - Minimal standalone example of diffusion model