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dual-sim
/
outputs

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

Instructions to use dual-sim/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dual-sim/outputs with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dual-sim/outputs", 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
outputs
80.4 GB
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  • 2 contributors
History: 5 commits
JK2727's picture
JK2727
Upload YAM GE-Sim bs32 lr1e-4 two-stage training outputs
e72380e verified 7 days ago
  • train
    Upload YAM GE-Sim bs32 lr1e-4 two-stage training outputs 7 days ago
  • .gitattributes
    3.66 kB
    Upload YAM GE-Sim bs32 lr1e-4 two-stage training outputs 7 days ago