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kfkas
/
test_lora_dreambooth_v2

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

Instructions to use kfkas/test_lora_dreambooth_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use kfkas/test_lora_dreambooth_v2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("kfkas/test_lora_dreambooth_v2")
    
    prompt = "a photo of Korea sks Sungnyemun Gate"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
test_lora_dreambooth_v2
101 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
kfkas's picture
kfkas
End of training
cfb7d39 verified over 1 year ago
  • checkpoint-1000
    End of training over 1 year ago
  • checkpoint-500
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  • .gitattributes
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  • README.md
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  • add_embedding_weights.pth

    Detected Pickle imports (4)

    • "torch.BFloat16Storage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch._utils._rebuild_parameter"

    How to fix it?

    1.18 MB
    xet
    End of training over 1 year ago
  • image_0.png
    1.16 MB
    xet
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  • image_1.png
    913 kB
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  • image_2.png
    992 kB
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  • image_3.png
    1.06 MB
    xet
    End of training over 1 year ago
  • pytorch_lora_weights.safetensors
    23.4 MB
    xet
    End of training over 1 year ago