diffusion

Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation

Efficient Retrieval Augmentation and Generation Framework

A suite of image and video neural tokenizers

An extensible, easy-to-use, and portable diffusion web UI 👨‍🎨

A compendium of informations regarding Stable Diffusion (SD)

Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.

Scalable and memory-optimized training of diffusion models

Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.

Stable Diffusion in NCNN with c++, supported txt2img and img2img

List of Molecular and Material design using Generative AI and Deep Learning

[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++

[TMLR 2025🔥] A survey for the autoregressive models in vision.

Diffusion attentive attribution maps for interpreting Stable Diffusion.

Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.

基于Stable Diffusion优化的AI绘画模型。支持输入中英文文本，可生成多种现代艺术风格的高质量图像。| An optimized text-to-image model based on Stable Diffusion. Both Chinese and English text inputs are available to generate images. The model can generate high-quality images in several modern art styles.

Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

Yet another PyTorch implementation of Stable Diffusion (probably easy to read)

Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]

📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉