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PSJJ
/
output

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

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

  • Libraries
  • Diffusers

    How to use PSJJ/output 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-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("PSJJ/output")
    
    prompt = "sonny"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
output
69.6 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
PSJJ's picture
PSJJ
End of training
6866760 almost 3 years ago
  • checkpoint-100
    End of training almost 3 years ago
  • checkpoint-25
    End of training almost 3 years ago
  • checkpoint-50
    End of training almost 3 years ago
  • checkpoint-75
    End of training almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    598 Bytes
    End of training almost 3 years ago
  • image_0.png
    598 kB
    End of training almost 3 years ago
  • image_1.png
    523 kB
    End of training almost 3 years ago
  • image_2.png
    490 kB
    End of training almost 3 years ago
  • image_3.png
    528 kB
    End of training almost 3 years ago
  • pytorch_lora_weights.bin
    8.16 MB
    xet
    End of training almost 3 years ago