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freQuensy23
/
delme2

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
Model card Files Files and versions
xet
Community

Instructions to use freQuensy23/delme2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use freQuensy23/delme2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("freQuensy23/delme2", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "A [V] cat swimming"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
delme2
5.16 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
freQuensy23's picture
freQuensy23
Upload StableDiffusionPipeline
efa1d1f over 2 years ago
  • feature_extractor
    Upload StableDiffusionPipeline over 2 years ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    157 Bytes
    Update README.md over 2 years ago
  • model_index.json
    636 Bytes
    Upload StableDiffusionPipeline over 2 years ago