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metadata
license: apache-2.0
library_name: pruna-engine
thumbnail: >-
  https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg
metrics:
  - memory_disk
  - memory_inference
  - inference_latency
  - inference_throughput
  - inference_CO2_emissions
  - inference_energy_consumption

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Results

image info

Important remarks:

  • The quality of the model output might slightly vary compared to the base model.
  • These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json and are obtained after a hardware warmup. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...).
  • You can request premium access to more compression methods and tech support for your specific use-cases here.
  • Results mentioning "first" are obtained after the first run of the model. The first run might take more memory or be slower than the subsequent runs due cuda overheads.

Setup

You can run the smashed model with these steps:

  1. Check that you have linux, python 3.10, and cuda 12.1.0 requirements installed. For cuda, check with nvcc --version and install with conda install nvidia/label/cuda-12.1.0::cuda.
  2. Install the pruna-engine available here on Pypi. It might take up to 15 minutes to install.
    pip install pruna-engine[gpu]==0.6.0 --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://prunaai.pythonanywhere.com/
    
  3. Download the model files using one of these three options.
    • Option 1 - Use command line interface (CLI):
      mkdir Linaqruf-animagine-xl-turbo-tiny-green-smashed
      huggingface-cli download PrunaAI/Linaqruf-animagine-xl-turbo-tiny-green-smashed --local-dir Linaqruf-animagine-xl-turbo-tiny-green-smashed --local-dir-use-symlinks False
      
    • Option 2 - Use Python:
      import subprocess
      repo_name = "Linaqruf-animagine-xl-turbo-tiny-green-smashed"
      subprocess.run(["mkdir", repo_name])
      subprocess.run(["huggingface-cli", "download", 'PrunaAI/'+ repo_name, "--local-dir", repo_name, "--local-dir-use-symlinks", "False"])
      
    • Option 3 - Download them manually on the HuggingFace model page.
  4. Load & run the model.
    from pruna_engine.PrunaModel import PrunaModel
    
    model_path = "Linaqruf-animagine-xl-turbo-tiny-green-smashed/model"  # Specify the downloaded model path.
    smashed_model = PrunaModel.load_model(model_path)  # Load the model.
    smashed_model(prompt='Beautiful fruits in trees', height=1024, width=1024)[0][0]  # Run the model where x is the expected input of.
    

Configurations

The configuration info are in config.json.

Credits & License

We follow the same license as the original model. Please check the license of the original model Linaqruf/animagine-xl before using this model which provided the base model.

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