autoregressive-diffusion-pytorch
Discover the Autoregressive Diffusion Pytorch library, designed for generating images without vector quantization through autoregressive models. This implementation features advanced techniques to synthesize images as token sequences. The library provides clear installation guides and usage examples, compatible with both diffusion and flow matching methods. It serves as a flexible tool for researchers and developers focused on cutting-edge image generation technologies.
