Official repository for LTX-Video

FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.

Adaptive Caching for Faster Video Generation with Diffusion Transformers

FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality

The best OSS video generation models

Clarity: A Minimalist Website Template for AI Research

Language Repository for Long Video Understanding

SGLang is a fast serving framework for large language models and vision language models.

Unofficial Implementation of "Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs"

Official inference repo for FLUX.1 models

Code for paper "VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos"

[CVPR2024 Highlight] VBench - We Evaluate Video Generation

Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Tarsier -- a family of large-scale video-language models, which is designed to generate high-quality video descriptions , together with good capability of general video understanding.

Latte: Latent Diffusion Transformer for Video Generation.

[ECCV 2024] Official Implementation of CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings

Official repo for AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI

VideoSys: An easy and efficient system for video generation

GIF encoder based on libimagequant (pngquant). Squeezes maximum possible quality from the awful GIF format.

[NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"

Let us control diffusion models!

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

LLaRA: Large Language and Robotics Assistant

Open-Sora: Democratizing Efficient Video Production for All

Lumina-T2X is a unified framework for Text to Any Modality Generation

Stable Diffusion web UI

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

[CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts