README
Update (March 2026): 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, text-to-image generation, and instruction-based image editing. For more details, please check out the paper and code.
LLaDA-V
We introduce LLaDA-V, a competitive diffusion-based vision-language model that outperforms other diffusion MLLMs.
It was presented in the paper LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning.
Project Page: https://ml-gsai.github.io/LLaDA-V-demo/
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README
Update (March 2026): 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, text-to-image generation, and instruction-based image editing. For more details, please check out the paper and code.
LLaDA-V
We introduce LLaDA-V, a competitive diffusion-based vision-language model that outperforms other diffusion MLLMs.
It was presented in the paper LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning.
Project Page: https://ml-gsai.github.io/LLaDA-V-demo/