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linoyts
/
dreambooth-groot

Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
Model card Files Files and versions
xet
Community

Instructions to use linoyts/dreambooth-groot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use linoyts/dreambooth-groot with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("linoyts/dreambooth-groot", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
dreambooth-groot
5.49 GB
Ctrl+K
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  • 2 contributors
History: 22 commits
Linoy Tsaban
Upload 4 files
758ae56 about 3 years ago
  • editing_examples
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  • feature_extractor
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  • safety_checker
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.56 kB
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  • README.md
    1.29 kB
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  • dreambooth_hackathon.ipynb
    3.53 MB
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  • image_editing_with_ddim_inversion.ipynb
    979 kB
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  • model_index.json
    579 Bytes
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