DALLE2-pytorch
The project provides a Pytorch implementation of OpenAI's DALL-E 2 that advances text-to-image synthesis through diffusion networks. It focuses on a prior network for predicting image embeddings, enhancing generation accuracy and diversity. This repository supports AI researchers and developers in model replication and training, in collaboration with the LAION community. It integrates neural networks like CLIP and diffusion priors to generate high-quality images from text. Discover the innovative use of pixel shuffle upsamplers and cascading DDPMs for image generation and join the Discord community for contributions and pre-trained models on Hugging Face.
