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Decision brief
Pruna is a Python framework focused on delivering quicker and leaner AI models for developers across Linux, MacOS, and Windows platforms.
Good fit when
- - You need to optimize pre-trained models like those from Stable Diffusion for better performance.
- - Your project requires customization of the optimization process through `SmashConfig`, offering flexibility with various algorithms.
Avoid when
- - When the specific model you wish to optimize does not benefit from Pruna's supported optimization algorithms.
- - If your project's operating system requirements are outside of Linux, MacOS, or Windows platforms as Pruna might not support all required OS features.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install prunaSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Pruna is designed to help developers deliver faster and more efficient AI models with ease.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Jul 31, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 31, 2026)
- Python 3.9 or higherSource link
Tags
README
Installation
Pruna is currently available for installation on Linux, MacOS and Windows. However, some algorithms impose restrictions on the operating system and might not be available on all platforms.
Before installing, ensure you have:
- Python 3.9 or higher
- Optional: CUDA toolkit for GPU support
Option 1: Install Pruna using pip
Pruna is available on PyPI, so you can install it using pip:
pip install pruna
Option 2: Install Pruna from source
You can also install Pruna directly from source by cloning the repository and installing the package in editable mode:
git clone https://github.com/PrunaAI/pruna.git
cd pruna
pip install -e .
Quick Start
Getting started with Pruna is easy-peasy pruna-squeezy!
First, load any pre-trained model. Here's an example using Stable Diffusion:
from diffusers import StableDiffusionPipeline
base_model = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
Then, use Pruna's smash function to optimize your model. Pruna provides a variety of different optimization algorithms, allowing you to combine different algorithms to get the best possible results. You can customize the optimization process using SmashConfig:
from pruna import smash, SmashConfig
For agents
This page has a .md twin and JSON over the API.