---
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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        <img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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# Simply make AI models cheaper, smaller, faster, and greener!

## Results

![image info](./plots.png)

## Setup

You can run the smashed model by:
1. Installing and importing the `pruna-engine` (version 0.2.9) package. Use `pip install pruna --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com` for installation. See [Pypi](https://pypi.org/project/pruna-engine/) for details on the package.
2. Downloading the model files. This can be done using the Hugging Face CLI with the following commands:
    ```bash
    mkdir stabilityai-stable-diffusion-2-1-smashed
    huggingface-cli download PrunaAI/stabilityai-stable-diffusion-2-1-smashed --local-dir stabilityai-stable-diffusion-2-1-smashed --local-dir-use-symlinks False
    ```
   Alternatively, you can download them manually.
3. Loading the model.
4. Running the model.
You can achieve this by running the following code:
```python
from pruna_engine.PrunaModel import PrunaModel  # Step (1): install and import `pruna-engine` package.
model_path = "stabilityai-stable-diffusion-2-1-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=768, image_width=768)[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.

## Want to compress other models?

- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
- Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).