DiffusionFastForward
blended-latent-diffusion
DiffusionFastForward | blended-latent-diffusion | |
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3 | 1 | |
506 | 514 | |
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4.4 | 4.5 | |
11 months ago | 5 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)
blended-latent-diffusion
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Blended Latent Diffusion's code has been released.
The research paper https://arxiv.org/abs/2206.02779 has finally released their code https://github.com/omriav/blended-latent-diffusion after I asked about it 2 days ago in an issue.
What are some alternatives?
dino-diffusion - Bare-bones diffusion model code
Kandinsky-2 - Kandinsky 2 — multilingual text2image latent diffusion model
Self-Attention-Guidance - Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV 2023)
Diffusion-Models-Papers-Survey-Taxonomy - Diffusion model papers, survey, and taxonomy
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Rerender_A_Video - [SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
diffusion_models - Minimal standalone example of diffusion model
glami-1m - The largest multilingual image-text classification dataset. It contains fashion products.
seed-alchemy - Frontend UI and Backend Server for Stable Diffusion models
MultiDiffusion - Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
audio-diffusion - Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
paper-implementations - Attempts to implement various deep learning, computer vision papers.