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xRundaAILab
/
ANDREA

Text-to-Image
Diffusers
Trained with AutoTrain
Model card Files Files and versions
xet
Community

Instructions to use xRundaAILab/ANDREA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use xRundaAILab/ANDREA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("xRundaAILab/ANDREA", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Oil paintings by ANDREA"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
ANDREA
23.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
xrunda's picture
xrunda
End of training
0a7c48e over 2 years ago
  • .gitattributes
    2.31 kB
    End of training over 2 years ago
  • README.md
    236 Bytes
    End of training over 2 years ago
  • prompt.txt
    23 Bytes
    End of training over 2 years ago
  • prompts.json
    39 Bytes
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  • pytorch_lora_weights.safetensors
    23.4 MB
    xet
    End of training over 2 years ago
  • training_params.json
    1.42 kB
    End of training over 2 years ago