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ShadeEngine
/
SD_kirby_dreambooth

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use ShadeEngine/SD_kirby_dreambooth with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ShadeEngine/SD_kirby_dreambooth", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of kirby"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
SD_kirby_dreambooth / diffusers /tests /models /unets
142 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
ShadeEngine's picture
ShadeEngine
End of training
4ac8f3e verified almost 2 years ago
  • __init__.py
    0 Bytes
    End of training almost 2 years ago
  • test_models_unet_1d.py
    8.96 kB
    End of training almost 2 years ago
  • test_models_unet_2d.py
    11 kB
    End of training almost 2 years ago
  • test_models_unet_2d_condition.py
    58.6 kB
    End of training almost 2 years ago
  • test_models_unet_2d_flax.py
    4.37 kB
    End of training almost 2 years ago
  • test_models_unet_3d_condition.py
    6.19 kB
    End of training almost 2 years ago
  • test_models_unet_controlnetxs.py
    14.4 kB
    End of training almost 2 years ago
  • test_models_unet_motion.py
    12.8 kB
    End of training almost 2 years ago
  • test_models_unet_spatiotemporal.py
    10.1 kB
    End of training almost 2 years ago
  • test_unet_2d_blocks.py
    11.8 kB
    End of training almost 2 years ago
  • test_unet_blocks_common.py
    4.23 kB
    End of training almost 2 years ago