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Sap27
/
lora-sd3dreambooth-checkpoints

Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Model card Files Files and versions
xet
Community

Instructions to use Sap27/lora-sd3dreambooth-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Sap27/lora-sd3dreambooth-checkpoints with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Sap27/lora-sd3dreambooth-checkpoints")
    
    prompt = "Ranveer Singh from Bajirao Mastani"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
lora-sd3dreambooth-checkpoints / checkpoint-100
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  • 1 contributor
History: 1 commit
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Sap27
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cc9c6e3 verified about 1 year ago
  • pytorch_model
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  • latest
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  • pytorch_lora_weights.safetensors
    9.44 MB
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  • random_states_0.pkl

    Detected Pickle imports (7)

    • "numpy.ndarray",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.ByteStorage",
    • "_codecs.encode",
    • "numpy._core.multiarray._reconstruct",
    • "numpy.dtype"

    How to fix it?

    15.1 kB
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  • scheduler.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1 kB
    xet
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  • zero_to_fp32.py
    33.3 kB
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