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elvis92
/
pets_rank_2

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Files and versions
xet
Community

Instructions to use elvis92/pets_rank_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use elvis92/pets_rank_2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("elvis92/pets_rank_2")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
pets_rank_2 / diffusers /utils
154 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
elvis92's picture
elvis92
End of training
71ac1fa over 2 years ago
  • check_config_docstrings.py
    3.12 kB
    End of training over 2 years ago
  • check_copies.py
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  • check_doc_toc.py
    5.24 kB
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  • check_dummies.py
    6.33 kB
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  • check_inits.py
    12.5 kB
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  • check_repo.py
    30.8 kB
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  • check_table.py
    7.6 kB
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  • custom_init_isort.py
    13.6 kB
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  • fetch_torch_cuda_pipeline_test_matrix.py
    2.57 kB
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  • get_modified_files.py
    1.48 kB
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  • overwrite_expected_slice.py
    3.08 kB
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  • print_env.py
    1.4 kB
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  • release.py
    6.21 kB
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  • stale.py
    3.08 kB
    End of training over 2 years ago
  • tests_fetcher.py
    48.5 kB
    End of training over 2 years ago