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SidXXD
/
encoder_attack_4-eps-0310-250

Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Model card Files Files and versions
xet
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Instructions to use SidXXD/encoder_attack_4-eps-0310-250 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SidXXD/encoder_attack_4-eps-0310-250 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("SidXXD/encoder_attack_4-eps-0310-250", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "photo of a <v1*> person"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
encoder_attack_4-eps-0310-250 / logs /custom-diffusion
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  • 1 contributor
History: 3 commits
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SidXXD
End of training
8d1a3a7 verified almost 2 years ago
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  • events.out.tfevents.1720011371.cudahpc06.2661680.0
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    xet
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  • events.out.tfevents.1720011483.cudahpc06.2698920.0
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    xet
    End of training almost 2 years ago
  • events.out.tfevents.1720013288.cudahpc06.3244677.0
    20.8 kB
    xet
    End of training almost 2 years ago