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", 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

- Xet hash:
- fd7b0f66369f4a7304c4a1ddff25399c690dec4de56db83b963bfd158d4339f8
- Size of remote file:
- 301 kB
- SHA256:
- a058fa5ee67de63dd892a8b15b9e54682892d4837c390902b6549d9484b04e9b
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