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lora-library
/
egbert-2x-source-bilinear

Text-to-Image
Diffusers
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stable-diffusion
stable-diffusion-diffusers
lora
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xet
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Instructions to use lora-library/egbert-2x-source-bilinear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lora-library/egbert-2x-source-bilinear with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("lora-library/egbert-2x-source-bilinear")
    
    prompt = "egbert"
    image = pipe(prompt).images[0]
  • Notebooks
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  • DiffusionBee
egbert-2x-source-bilinear
111 MB
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  • 1 contributor
History: 2 commits
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antonellaavad
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  • .gitattributes
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  • README.md
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  • pytorch_lora_weights.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    3.42 MB
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  • train.sh
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