A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

LAVIS - A One-stop Library for Language-Vision Intelligence

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

PyTorch code and models for the DINOv2 self-supervised learning method.

MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

Official Code for Stable Cascade

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Kandinsky 2 — multilingual text2image latent diffusion model

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (PRG)

A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

[ECCV 2024] HiDiffusion: Increases the resolution and speed of your diffusion model by only adding a single line of code!

[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

A prompting enhancement library for transformers-type text embedding systems

LaVIT: Empower the Large Language Model to Understand and Generate Visual Content

TryOnDiffusion: A Tale of Two UNets Implementation