File size: 2,578 Bytes
d4b8495 472ea76 49048f9 472ea76 8905e7b 472ea76 ea9f9b3 d4b8495 8905e7b d4b8495 b054484 d4b8495 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
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
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
<!-- header end -->
# Simply make AI models cheaper, smaller, faster, and greener!
## Results
## Setup
You can run the smashed model by:
1. Installing and importing the `pruna-engine` (version 0.2.9) package. Use `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](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-base-smashed
huggingface-cli download PrunaAI/stabilityai-stable-diffusion-2-1-base-turbo-green-smashed --local-dir stabilityai-stable-diffusion-2-1-base-turbo-green-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-base-turbo-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=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). |