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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 / samples
914 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
HERIUN's picture
HERIUN
Add before/after reconstruction and generation figures
00ed64f verified 10 days ago
  • gencmp_en_release.png
    103 kB
    xet
    Add before/after reconstruction and generation figures 10 days ago
  • gencmp_ko_release.png
    88.6 kB
    Add before/after reconstruction and generation figures 10 days ago
  • recon_en.png
    308 kB
    xet
    Add before/after reconstruction and generation figures 10 days ago
  • recon_ko.png
    414 kB
    xet
    Add before/after reconstruction and generation figures 10 days ago