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

Simply make AI models cheaper, smaller, faster, and greener!

Results

Setup

You can run the smashed model by:

Installing and importing the pruna-engine (version 0.2.9) package. Use pip install pip install pruna-engine==0.2.9 --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com for installation. See Pypi for details on the package.

Downloading the model files. This can be done using the Hugging Face CLI with the following commands:

mkdir runwayml-stable-diffusion-v1-5-smashed
huggingface-cli download PrunaAI/runwayml-stable-diffusion-v1-5-turbo-tiny-green-smashed --local-dir runwayml-stable-diffusion-v1-5-turbo-tiny-green-smashed --local-dir-use-symlinks False

Alternatively, you can download them manually.

Loading the model.
Running the model. You can achieve this by running the following code:

from pruna_engine.PrunaModel import PrunaModel  # Step (1): install and import `pruna-engine` package.
model_path = "runwayml-stable-diffusion-v1-5-turbo-tiny-green-smashed/model" # Step (2): specify the downloaded model path.
smashed_model = PrunaModel.load_model(model_path)  # Step (3): load the model.
y = smashed_model(prompt="a silly prune with a face in high definition", image_height=512, image_width=512)[0]  # Step (4): run the model.

Configurations

The configuration info are in config.json.

License

We follow the same license as the original model. Please check the license of the original model before using this model.

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