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imann63
/
trained_models

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

Instructions to use imann63/trained_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use imann63/trained_models with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("imann63/trained_models", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "photo of a special powerline station"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
trained_models
46.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
imann63's picture
imann63
End of training
fb4af92 over 2 years ago
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  • feature_extractor
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  • safety_checker
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  • scheduler
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  • text_encoder
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
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  • README.md
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  • model_index.json
    622 Bytes
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