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Alpha-VLLM
/
Lumina-Image-2.0

Text-to-Image
Diffusers
Safetensors
Lumina2Pipeline
Model card Files Files and versions
xet
Community
19

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
Lumina-Image-2.0
21.3 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 13 commits
Warlord-K's picture
Warlord-K
Update model_index.json
0edf53d verified over 1 year ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • transformer
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  • vae
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  • .gitattributes
    1.63 kB
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  • Demo.png
    9.09 MB
    xet
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  • README.md
    1.33 kB
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  • model_index.json
    414 Bytes
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