Awesome GitHub RepositoriesMultimodal Diffusion Models

OmniGen is a unified image generation model and diffusion framework that processes text, images, and vision tasks through a single system. It functions as a multimodal diffusion framework that treats diverse vision operations as unified image synthesis problems using shared model weights, removing the need for external adapter modules. The system supports subject-driven image generation to preserve the identity of objects from reference photos and allows for multi-reference image synthesis. It also operates as an instruction-based image editor, modifying visual content through natural languag

LLaDA is a masked diffusion language model and conditional text generator. It generates text by iteratively refining masked tokens through a diffusion process rather than predicting the next token in a sequence. The project functions as a vision-language diffusion model, converting visual inputs into text responses. It also serves as a preference optimization framework that uses log-likelihood estimation and evidence lower bounds to tune model responses. The system supports multi-round conversational AI and text sequence evaluation. It integrates vision-language embedding for cross-modal con

Multimodal Large Diffusion Language Models (NeurIPS 2025)

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

2026.03.23 We are excited to introduce LLaDA-o, the latest model in the LLaDA series. As an effective and length-adaptive omni diffusion model for unified multimodal understanding and generation, LLaDA-o extends the LLaDA line to broader multimodal settings, supporting visual understanding,…

ICLR 2026 MMaDA-Parallel: Parallel Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation

[Paper](paper/paper.pdf) [Arxiv](https://arxiv.org/abs/2505.16839) [Checkpoints](https://huggingface.co/collections/jacklishufan/lavida-10-682ecf5a5fa8c5df85c61ded) [Data](https://huggingface.co/datasets/jacklishufan/lavida-train) [Website](https://homepage.jackli.org/projects/lavida/)

Jiayi Chen¹\,Wenxuan Song¹†\, Pengxiang Ding²˒³, Ziyang Zhou¹, Han Zhao²˒³, Feilong Tang⁴,Donglin Wang², Haoang Li¹‡

DiffusionVL: Translating Any Autoregressive Models into Diffusion Vision Language Models

Unified Multimodal Discrete Diffusion

Dimple, the first Discrete Diffusion Multimodal Large Language Model

Muddit is the 2nd generation Meissonic. It is built upon discrete diffusion for unified and efficient multimodal generation.

This repository is the official implementation of FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities.

We introduce ReDiff, a refining-enhanced vision-language diffusion model.

[Paper](https://arxiv.org/abs/2509.19244) [Project Site](https://homepage.jackli.org/projects/lavida_o/index.html) [Huggingface](https://huggingface.co/jacklishufan/LaViDa-O-v1.0/tree/main)