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ArtyomSubDiv
/
RestlessAnimance

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

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

  • Libraries
  • Diffusers

    How to use ArtyomSubDiv/RestlessAnimance with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ArtyomSubDiv/RestlessAnimance", 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
RestlessAnimance
2.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Artyom
Upload restlessanimance_v10.safetensors
628216b verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    84 Bytes
    Create README.md over 1 year ago
  • restlessanimance_v10.safetensors
    2.13 GB
    xet
    Upload restlessanimance_v10.safetensors over 1 year ago