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logits
/
backpack

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

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

  • Libraries
  • Diffusers

    How to use logits/backpack with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("logits/backpack")
    
    prompt = "a photo of sks backpack"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
backpack
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
logits's picture
logits
End of training
2595c13 verified about 1 year ago
  • checkpoint-100
    End of training about 1 year ago
  • checkpoint-200
    End of training about 1 year ago
  • checkpoint-300
    End of training about 1 year ago
  • checkpoint-400
    End of training about 1 year ago
  • checkpoint-500
    End of training about 1 year ago
  • .gitattributes
    1.71 kB
    End of training about 1 year ago
  • README.md
    1.21 kB
    End of training about 1 year ago
  • image_0.png
    472 kB
    xet
    End of training about 1 year ago
  • image_1.png
    659 kB
    xet
    End of training about 1 year ago
  • image_2.png
    608 kB
    xet
    End of training about 1 year ago
  • image_3.png
    499 kB
    xet
    End of training about 1 year ago
  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training about 1 year ago