HunyuanImage-3.0: A Powerful Native Multimodal Model for Image Generation

A unified inference and post-training framework for accelerated video generation.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Inference code for DWCode

Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.

(CVPR 2025) From Slow Bidirectional to Fast Autoregressive Video Diffusion Models

Code for "Diffusion Model Alignment Using Direct Preference Optimization"

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

A generative world for general-purpose robotics & embodied AI learning.

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…

HunyuanVideo: A Systematic Framework For Large Video Generation Model

Janus-Series: Unified Multimodal Understanding and Generation Models

NeurIPS 2024 Paper: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing

VisionLLM Series

Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation

GLM-4-Voice | 端到端中英语音对话模型

The best OSS video generation models, created by Genmo

OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

Official Implementation of Rectified Flow (ICLR2023 Spotlight)

TorchCFM: a Conditional Flow Matching library

[ICLR 2025] Pyramidal Flow Matching for Efficient Video Generative Modeling

[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Multimodal Models in Real World

Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…