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tyfeld avatar

tyfeld/MMaDA-Parallel

0
View on GitHub↗
300 stars·10 forks·Python·Apache-2.0·7 viewsarxiv.org/abs/2511.09611↗

MMaDA Parallel

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

Features

  • Multimodal Diffusion Models - Multimodal diffusion model for thinking-aware editing and generation.

Star history

Star history chart for tyfeld/mmada-parallelStar history chart for tyfeld/mmada-parallel

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does tyfeld/mmada-parallel do?

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

What are the main features of tyfeld/mmada-parallel?

The main features of tyfeld/mmada-parallel are: Multimodal Diffusion Models.

What are some open-source alternatives to tyfeld/mmada-parallel?

Open-source alternatives to tyfeld/mmada-parallel include: ml-gsai/llada — LLaDA is a masked diffusion language model and conditional text generator. It generates text by iteratively refining… vectorspacelab/omnigen — OmniGen is a unified image generation model and diffusion framework that processes text, images, and vision tasks… alpha-vllm/lumina-dimoo — Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding. gen-verse/mmada — Multimodal Large Diffusion Language Models (NeurIPS 2025). hustvl/diffusionvl — DiffusionVL: Translating Any Autoregressive Models into Diffusion Vision Language Models. fudoki-hku/fudoki — This repository is the official implementation of FUDOKI: Discrete Flow-based Unified Understanding and Generation via…