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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 Settings
  • Draw Things
  • DiffusionBee
dreambooth_training / diffusers /examples /text_to_image
184 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
frknayk's picture
frknayk
End of training
b2fe733 almost 3 years ago
  • README.md
    14.7 kB
    End of training almost 3 years ago
  • README_sdxl.md
    5.8 kB
    End of training almost 3 years ago
  • requirements.txt
    85 Bytes
    End of training almost 3 years ago
  • requirements_flax.txt
    83 Bytes
    End of training almost 3 years ago
  • requirements_sdxl.txt
    76 Bytes
    End of training almost 3 years ago
  • train_text_to_image.py
    45.4 kB
    End of training almost 3 years ago
  • train_text_to_image_flax.py
    21.9 kB
    End of training almost 3 years ago
  • train_text_to_image_lora.py
    41.1 kB
    End of training almost 3 years ago
  • train_text_to_image_lora_sdxl.py
    55 kB
    End of training almost 3 years ago