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ostris
/
primal_vae

Diffusers
vae
autoencoder
latent-diffusion
custom_code
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Diffusers

    How to use ostris/primal_vae with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ostris/primal_vae", 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
primal_vae / assets
8.22 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ostris's picture
ostris
Update weights for 2x1 to latest step
f425156 verified 1 day ago
  • compare_2x1.svg
    3.25 MB
    Update weights for 2x1 to latest step 1 day ago
  • compare_2x2.svg
    3.63 MB
    Primal VAE 2x1 and 2x2 1 day ago
  • img01.png
    476 kB
    xet
    Primal VAE 2x1 and 2x2 1 day ago
  • img02.png
    674 kB
    xet
    Primal VAE 2x1 and 2x2 1 day ago
  • img03.png
    191 kB
    xet
    Primal VAE 2x1 and 2x2 1 day ago