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VuDucQuang
/
anime

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
image-to-image
anime
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use VuDucQuang/anime with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("VuDucQuang/anime", 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
102 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
vdquang1704
anime
fcdce2c about 3 years ago
  • scheduler
    anime about 3 years ago
  • text_encoder
    anime about 3 years ago
  • tokenizer
    anime about 3 years ago
  • unet
    anime about 3 years ago
  • vae
    anime about 3 years ago
  • .gitattributes
    1.67 kB
    anime about 3 years ago
  • LICENSE.md
    14 kB
    anime about 3 years ago
  • README.md
    5.07 kB
    anime about 3 years ago
  • anime.jpg
    148 kB
    anime about 3 years ago
  • model_index.json
    511 Bytes
    anime about 3 years ago