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yj373
/
LoRA-DreamBooth-backpack-v1-4

Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
if
if-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use yj373/LoRA-DreamBooth-backpack-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use yj373/LoRA-DreamBooth-backpack-v1-4 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("yj373/LoRA-DreamBooth-backpack-v1-4")
    
    prompt = "a sks backpack"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
LoRA-DreamBooth-backpack-v1-4
206 MB
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  • 1 contributor
History: 2 commits
yj373's picture
yj373
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  • logs
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  • .gitattributes
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  • README.md
    1.06 kB
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  • pytorch_lora_weights.safetensors
    12.4 MB
    xet
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