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sebascorreia
/
encoding-vae

Diffusers
TensorBoard
Safetensors
AudioDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use sebascorreia/encoding-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use sebascorreia/encoding-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("sebascorreia/encoding-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
encoding-vae / logs /train_unet
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  • 1 contributor
History: 43 commits
sebascorreia's picture
sebascorreia
Epoch 19
6f40d0f over 2 years ago
  • events.out.tfevents.1694193203.d6466ec610d1.122692.0
    4.2 MB
    xet
    Epoch 0 over 2 years ago
  • events.out.tfevents.1694194080.d6466ec610d1.127321.0
    259 Bytes
    xet
    Epoch 0 over 2 years ago
  • events.out.tfevents.1694194183.d6466ec610d1.127851.0
    88 Bytes
    xet
    Epoch 0 over 2 years ago
  • events.out.tfevents.1694194250.d6466ec610d1.128260.0
    28.4 MB
    xet
    Epoch 0 over 2 years ago
  • events.out.tfevents.1694199536.d6466ec610d1.156816.0
    27 MB
    xet
    Epoch 19 over 2 years ago