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avuhong
/
DB_Hokusai_Monet_style

Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
classical-art
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Diffusers

    How to use avuhong/DB_Hokusai_Monet_style with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("avuhong/DB_Hokusai_Monet_style", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a painting in $M## style of a fishing village under a cherry blossom forest at sunset"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
DB_Hokusai_Monet_style
5.16 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
avuhong's picture
avuhong
Create README.md
001d1a8 over 3 years ago
  • scheduler
    Upload with huggingface_hub over 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 over 3 years ago
  • README.md
    1.53 kB
    Create README.md over 3 years ago
  • model_index.json
    512 Bytes
    Upload with huggingface_hub over 3 years ago