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frknayk
/
dreambooth_training

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Diffusers

    How to use frknayk/dreambooth_training with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("frknayk/dreambooth_training", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of sks dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
dreambooth_training / diffusers /tests /models
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  • 1 contributor
History: 1 commit
frknayk's picture
frknayk
End of training
b2fe733 almost 3 years ago
  • __init__.py
    0 Bytes
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  • test_activations.py
    1.87 kB
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  • test_attention_processor.py
    3.98 kB
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  • test_layers_utils.py
    22.6 kB
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  • test_lora_layers.py
    38.9 kB
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  • test_modeling_common.py
    22.9 kB
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  • test_modeling_common_flax.py
    2.75 kB
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  • test_models_prior.py
    6.36 kB
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  • test_models_unet_1d.py
    8.97 kB
    End of training almost 3 years ago
  • test_models_unet_2d.py
    9.95 kB
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  • test_models_unet_2d_condition.py
    45.2 kB
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  • test_models_unet_2d_flax.py
    4.37 kB
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  • test_models_unet_3d_condition.py
    15.5 kB
    End of training almost 3 years ago
  • test_models_vae.py
    24.8 kB
    End of training almost 3 years ago
  • test_models_vae_flax.py
    1.13 kB
    End of training almost 3 years ago
  • test_models_vq.py
    3.09 kB
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  • test_unet_2d_blocks.py
    11.8 kB
    End of training almost 3 years ago
  • test_unet_blocks_common.py
    4.2 kB
    End of training almost 3 years ago