Diffusion Models & Image Generation
37 repos
Deep learning libraries and applications for training, fine-tuning, and extending diffusion-based generative models, particularly Stable Diffusion and similar architectures. The cluster spans practical tools for model optimization (like SimpleTuner for efficient training), creative applications combining diffusion with other modalities (face synthesis, video editing, multi-view generation), and frameworks for experimenting with diffusion variants and mixtures. Most repositories are Python-based implementations suitable for both research and production use.
Python · 27
Jupyter Notebook · 5
C++ · 1
JavaScript · 1
TypeScript · 1
diffusion-models ·48,102
computer-vision ·35,270
stable-diffusion ·34,891
deep-learning ·29,321
generative-ai ·24,763
pytorch ·23,128
super-resolution ·13,410
image-processing ·12,989
ai ·12,951
speech-recognition ·12,111
