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M-E-AGI-Lab/Muddit

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117 Stars·2 Forks·Python·3 Aufrufe

Muddit

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

Features

  • Multimodal Diffusion Models - Unified discrete diffusion for multimodal generation beyond text-to-image.

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Alle 15 Alternativen zu Muddit anzeigen→

Häufig gestellte Fragen

Was macht m-e-agi-lab/muddit?

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

Was sind die Hauptfunktionen von m-e-agi-lab/muddit?

Die Hauptfunktionen von m-e-agi-lab/muddit sind: Multimodal Diffusion Models.

Welche Open-Source-Alternativen gibt es zu m-e-agi-lab/muddit?

Open-Source-Alternativen zu m-e-agi-lab/muddit sind unter anderem: 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…