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RobertML
/
edge-super-compile-0A

Diffusers
ONNX
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use RobertML/edge-super-compile-0A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use RobertML/edge-super-compile-0A with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("RobertML/edge-super-compile-0A", 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
edge-super-compile-0A
17.2 GB
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  • 1 contributor
History: 11 commits
RobertML's picture
RobertML
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8bf9827 verified over 1 year ago
  • engine
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  • models
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  • onnx
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  • src
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  • .gitattributes
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  • .gitignore
    27 Bytes
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  • .gitmodules
    136 Bytes
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  • README.md
    19 Bytes
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  • loss_params.pth

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.DoubleStorage",
    • "torch.IntStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    3.12 kB
    xet
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  • pyproject.toml
    785 Bytes
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  • uv.lock
    81.2 kB
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