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jafetsierra
/
rem_output

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

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

  • Libraries
  • Diffusers

    How to use jafetsierra/rem_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("jafetsierra/rem_output")
    
    prompt = "a picture of rem a girl character from re zero. she wears a maid costume, has blue eyes and a big breast"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
rem_output
103 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
jafetsierra's picture
jafetsierra
End of training
e2d717e over 2 years ago
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  • .gitattributes
    1.52 kB
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  • README.md
    808 Bytes
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  • image_0.png
    330 kB
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  • image_1.png
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  • image_2.png
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  • image_3.png
    449 kB
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  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
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