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bodam
/
lora-dreambooth-model

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use bodam/lora-dreambooth-model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("bodam/lora-dreambooth-model")
    
    prompt = "a olis chair"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
lora-dreambooth-model
5.52 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
bodam's picture
bodam
End of training
3683b24 over 2 years ago
  • checkpoint-10
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  • checkpoint-5
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  • checkpoint-50
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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
    1.52 kB
    initial commit over 2 years ago
  • README.md
    629 Bytes
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  • image_0.png
    476 kB
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  • image_1.png
    486 kB
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  • image_2.png
    533 kB
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  • image_3.png
    373 kB
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  • model_index.json
    680 Bytes
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  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training over 2 years ago