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AvalingHawx
/
image_creater

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

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

  • Libraries
  • Diffusers

    How to use AvalingHawx/image_creater with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AvalingHawx/image_creater", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "photo of SD"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
image_creater
23.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
AvalingHawx's picture
AvalingHawx
End of training
021051e verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    224 Bytes
    End of training over 2 years ago
  • prompt.txt
    11 Bytes
    End of training over 2 years ago
  • pytorch_lora_weights.safetensors
    23.4 MB
    xet
    End of training over 2 years ago
  • training_params.json
    1.43 kB
    End of training over 2 years ago