showlab/D-AR
the official repo for "D-AR: Diffusion via Autoregressive Models"
This project offers a novel way for AI researchers and practitioners to generate high-quality images. By converting image pixels into sequences of tokens, it allows for image creation using autoregressive models, similar to how text is generated. Researchers working on new image generation techniques can use this to explore a different paradigm, inputting existing image datasets and outputting models capable of generating new images.
135 stars.
Use this if you are an AI researcher or machine learning engineer looking to experiment with a new methodology for image generation, specifically bridging diffusion models with autoregressive architectures.
Not ideal if you are an end-user simply looking for a tool to generate images without deep technical involvement in model architecture and training.
Stars
135
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jan 29, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/showlab/D-AR"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quantgirluk/aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
blei-lab/treeffuser
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression...
TuftsBCB/RegDiffusion
Diffusion model for gene regulatory network inference.
yuanchenyang/smalldiffusion
Simple and readable code for training and sampling from diffusion models
chairc/Integrated-Design-Diffusion-Model
IDDM (Industrial, landscape, animate, latent diffusion), support LDM, DDPM, DDIM, PLMS, webui...