Diffusion Models & Image Generation
34 repos
Research and implementations focused on diffusion-based generative models for image synthesis, particularly text-to-image and image manipulation tasks. The cluster centers on architectural innovations like DiT (Diffusion Transformers) and pixel-space diffusion methods, with repositories exploring various conditioning approaches, model variants, and generation techniques. Researchers exploring this area will find implementations of core diffusion frameworks, model variants with different conditioning mechanisms, and specialized techniques for tasks like outpainting and controlled generation.
Python · 6
image-generation ·5,701
text-to-image ·5,528
en ·2,163
autoregressive-models ·2,117
generative-model ·2,117
diffusers ·2,111
safetensors ·1,926
transformers ·1,707
gpt ·1,587
auto-regressive-model ·1,587
