Any-to-Any
Diffusers
Safetensors
LuminaDiMOOPipeline
llada
Diffusion Large Language Model
Multi-Modal Generation and Understanding
custom_code
Instructions to use Alpha-VLLM/Lumina-DiMOO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alpha-VLLM/Lumina-DiMOO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Alpha-VLLM/Lumina-DiMOO", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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[[📑 Technical Report](https://arxiv.org/abs/2510.06308)]   [[💜 Project Page (Demo & Benchmark)](https://synbol.github.io/Lumina-DiMOO/)]   [[🌐 Code ](https://github.com/Alpha-VLLM/Lumina-DiMOO)]
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<b>¹Shanghai
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<b>⁴Nanjing University, ⁵The University of Sydney</b>
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[[📑 Technical Report](https://arxiv.org/abs/2510.06308)]   [[💜 Project Page (Demo & Benchmark)](https://synbol.github.io/Lumina-DiMOO/)]   [[🌐 Code ](https://github.com/Alpha-VLLM/Lumina-DiMOO)]
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<b>¹Shanghai Innovation Institute, ²Shanghai AI Laboratory, ³Shanghai Jiao Tong University</b>
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<b>⁴Nanjing University, ⁵The University of Sydney</b>
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