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ostris
/
primal_vae

Diffusers
vae
autoencoder
latent-diffusion
custom_code
Model card Files Files and versions
xet
Community
3

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
1.15 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
ostris's picture
ostris
Remove __pycache__
dc3e96c verified 3 days ago
  • assets
    Add 4x1 primal vae 3 days ago
  • .gitattributes
    1.68 kB
    Primal VAE 2x1 and 2x2 8 days ago
  • LICENSE
    11.3 kB
    Apache 2.0 license 7 days ago
  • README.md
    10.2 kB
    Add 4x1 primal vae 3 days ago
  • config.json
    257 Bytes
    Add 4x1 primal vae 3 days ago
  • modeling_primal_vae.py
    10.4 kB
    Add 4x1 primal vae 3 days ago
  • primal_vae_2x1.safetensors
    321 MB
    xet
    Update weights for 2x1 to latest step 8 days ago
  • primal_vae_2x2.safetensors
    321 MB
    xet
    Primal VAE 2x1 and 2x2 8 days ago
  • primal_vae_4x1.safetensors
    489 MB
    xet
    Add 4x1 primal vae 3 days ago