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aaaleeex
/
OUTPUT

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use aaaleeex/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("aaaleeex/OUTPUT", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of ohwx man"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
OUTPUT / checkpoint-500
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  • 1 contributor
History: 1 commit
aaaleeex's picture
aaaleeex
End of training
2871357 about 3 years ago
  • unet
    End of training about 3 years ago
  • optimizer.bin
    1.73 GB
    xet
    End of training about 3 years ago
  • random_states_0.pkl
    14.7 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