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ahmed-3m
/
DM_cifar10

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

Instructions to use ahmed-3m/DM_cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ahmed-3m/DM_cifar10 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("ahmed-3m/DM_cifar10")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
DM_cifar10 / diffusers /utils
167 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Ahmed Mohammed
End of training
8fd8fb2 verified over 1 year ago
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  • check_copies.py
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  • check_doc_toc.py
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  • check_dummies.py
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  • check_inits.py
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  • check_repo.py
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  • check_table.py
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  • custom_init_isort.py
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  • fetch_latest_release_branch.py
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  • fetch_torch_cuda_pipeline_test_matrix.py
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  • get_modified_files.py
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  • notify_benchmarking_status.py
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  • notify_community_pipelines_mirror.py
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  • notify_slack_about_release.py
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  • overwrite_expected_slice.py
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  • print_env.py
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  • release.py
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  • stale.py
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  • tests_fetcher.py
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  • update_metadata.py
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