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edicamargo
/
any45

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
1

Instructions to use edicamargo/any45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use edicamargo/any45 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("edicamargo/any45", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
any45
4.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
edicamargo's picture
edicamargo
Upload 12 files (#1)
8891458 about 3 years ago
  • scheduler
    Upload 12 files (#1) about 3 years ago
  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    23 Bytes
    initial commit about 3 years ago
  • model_index.json
    511 Bytes
    Upload 12 files (#1) about 3 years ago