A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Inpaint anything using Segment Anything and inpainting models.

A unified framework for 3D content generation.

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

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

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

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

"Deep Generative Modeling": Introductory Examples

3D mesh stylization driven by a text input in PyTorch

Official implementation of Diffusion Autoencoders

Minimal implementation of scalable rectified flow transformers, based on SD3's approach

We extend Segment Anything to 3D perception by combining it with VoxelNeXt.

[NeurIPS2023] Code release for "Hierarchical Open-vocabulary Universal Image Segmentation"

source code for Stable Diffusion with Perp-Neg