Any-to-Any
Transformers
Diffusers
Safetensors
English
llada2_moe
feature-extraction
multimodal
image-generation
image-understanding
image-editing
diffusion
Mixture of Experts
text-to-image
custom_code
Instructions to use inclusionAI/LLaDA2.0-Uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/LLaDA2.0-Uni with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/LLaDA2.0-Uni", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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<h1> LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model </h1>
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[[๐ Technical Report ](https://arxiv.org/abs/2604.20796)]   [[๐ Github ](https://github.com/inclusionAI/LLaDA2.0-Uni)]
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<b>AGI Research Center, Inclusion AI </b>
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<h1> LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model </h1>
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[[๐ Technical Report ](https://arxiv.org/abs/2604.20796)]   [[๐ Github ](https://github.com/inclusionAI/LLaDA2.0-Uni)]  [[๐ค FP8 Version ](https://huggingface.co/inclusionAI/LLaDA2.0-Uni-FP8)]
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<b>AGI Research Center, Inclusion AI </b>
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