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MnLgt
/
erase_lora

Diffusers
if
if-diffusers
inpaint
lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use MnLgt/erase_lora 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-inpainting", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("MnLgt/erase_lora")
    
    prompt = "erase"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
erase_lora
15.3 MB
Ctrl+K
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  • 2 contributors
History: 5 commits
Jordan Davis
End of training
db8e0fb over 2 years ago
  • checkpoint-600
    End of training over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    587 Bytes
    End of training over 2 years ago
  • image_0.png
    842 Bytes
    End of training over 2 years ago
  • image_1.png
    842 Bytes
    End of training over 2 years ago
  • image_2.png
    842 Bytes
    End of training over 2 years ago
  • image_3.png
    842 Bytes
    End of training over 2 years ago
  • pytorch_lora_weights.safetensors
    4.42 MB
    xet
    End of training over 2 years ago