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HERIUN
/
emuru_vae_korean

Diffusers
Safetensors
Korean
English
vae
autoencoder
handwriting-generation
korean
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use HERIUN/emuru_vae_korean with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("HERIUN/emuru_vae_korean", 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
emuru_vae_korean
56.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
HERIUN's picture
HERIUN
Add before/after reconstruction and generation figures
3987119 verified 8 days ago
  • samples
    Add before/after reconstruction and generation figures 8 days ago
  • .gitattributes
    1.7 kB
    Add before/after reconstruction and generation figures 8 days ago
  • README.md
    12.5 kB
    Add before/after reconstruction and generation figures 8 days ago
  • config.json
    808 Bytes
    Korean-adapted VAE (full finetune, vae_s28000) 8 days ago
  • diffusion_pytorch_model.safetensors
    55.9 MB
    xet
    Korean-adapted VAE (full finetune, vae_s28000) 8 days ago