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NSavov
/
IOAI_onsite

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

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

  • Libraries
  • Diffusers

    How to use NSavov/IOAI_onsite with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("NSavov/IOAI_onsite", 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
IOAI_onsite
3.6 GB
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  • 1 contributor
History: 2 commits
NSavov's picture
NSavov
Upload StableDiffusionPipeline
e963309 verified almost 2 years ago
  • feature_extractor
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  • safety_checker
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  • 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 almost 2 years ago
  • README.md
    5.16 kB
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  • model_index.json
    672 Bytes
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