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jprve
/
StableDiff-Vanilla-V2

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

Instructions to use jprve/StableDiff-Vanilla-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jprve/StableDiff-Vanilla-V2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("jprve/StableDiff-Vanilla-V2", 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
StableDiff-Vanilla-V2 / logs /train_example
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  • 1 contributor
History: 2 commits
jprve's picture
jprve
Epoch 49
fdee233 verified about 2 years ago
  • events.out.tfevents.1709209419.c79c50c2f32c.484.0
    1.12 MB
    xet
    Epoch 49 about 2 years ago