Instructions to use Alpha-VLLM/Lumina-Image-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alpha-VLLM/Lumina-Image-2.0 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-Image-2.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Lumina2Text2ImgPipeline -> Lumina2Pipeline (#14)
Verified signature- Lumina2Text2ImgPipeline -> Lumina2Pipeline (aa7a0e506175929110c34a8425dbc37af2e05084) Co-authored-by: hlky <hlky@users.noreply.huggingface.co>ef99e61
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Update Lumina Image 2.0 model files
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Update model_index.json (#3)
Verified signature- Update model_index.json (0edf53d27760b8aac8d9303c3e7a270038ad98b7) Co-authored-by: Yatharth Gupta <Warlord-K@users.noreply.huggingface.co>32eed5d
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Upload Lumina Image 2.0 model files
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