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mcuo
/
Anime-Z

Text-to-Image
Diffusers
Safetensors
GGUF
ZImagePipeline
z-anime
Model card Files Files and versions
xet
Community

Instructions to use mcuo/Anime-Z with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mcuo/Anime-Z with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mcuo/Anime-Z", 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
Anime-Z / diffusers /transformer
12.3 GB
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  • 1 contributor
History: 2 commits
mcuo's picture
mcuo
Upload 3 files
c4daea6 verified 7 days ago
  • config.json
    532 Bytes
    Upload 16 files 7 days ago
  • diffusion_pytorch_model-00001-of-00002.safetensors
    9.97 GB
    xet
    Upload 3 files 7 days ago
  • diffusion_pytorch_model-00002-of-00002.safetensors
    2.34 GB
    xet
    Upload 3 files 7 days ago
  • diffusion_pytorch_model.safetensors.index.json
    49.5 kB
    Upload 3 files 7 days ago