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iskandre
/
output

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

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

  • Libraries
  • Diffusers

    How to use iskandre/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("iskandre/output")
    
    prompt = "a photo of cat"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
output / checkpoint-800
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
iskandre's picture
iskandre
End of training
fb118ee about 3 years ago
  • custom_checkpoint_0.pkl
    3.29 MB
    xet
    End of training about 3 years ago
  • optimizer.bin
    6.59 MB
    xet
    End of training about 3 years ago
  • pytorch_model.bin
    3.29 MB
    xet
    End of training about 3 years ago
  • random_states_0.pkl
    14.6 kB
    xet
    End of training about 3 years ago
  • scaler.pt

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    557 Bytes
    xet
    End of training about 3 years ago
  • scheduler.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    563 Bytes
    xet
    End of training about 3 years ago