On this page, you will find the installation instructions for ReinforceUI Studio.

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Prerequisites

You will need:

We will take care of the rest.

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Installation

ReinforceUI Studio offers several ways to get started, allowing you to choose the method that best suits your setup:

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Run Locally

Running locally means setting up ReinforceUI Studio directly on your machine. This method is ideal for users who prefer full control over the application and its dependencies. With just a few commands, you can have everything configured and ready to go, no extra tools are required.

1

Clone the repository and install the required dependencies

  git clone git@github.com:dvalenciar/ReinforceUI-Studio.git
  cd ReinforceUI-Studio
  pip install -r requirements.txt
2

Run the application

  python main.py

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Conda Environment

Conda is a widely used package manager that simplifies dependency management and ensures compatibility across platforms. This method is ideal for users who want a clean, isolated environment without conflicts with other Python libraries or system configurations. Ensure Conda is installed on your system before proceeding. You can find Conda installation instructions Conda Installation.

1

Create a new Conda environment

  conda create -n reinforceui python=3.10
  conda activate reinforceui
2

Clone the repository and install the required dependencies

  git clone git@github.com:dvalenciar/ReinforceUI-Studio.git
  cd ReinforceUI-Studio
  pip install -r requirements.txt
3

Run the application

    python main.py

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Conda Environment with YML file

Another easy way to install ReinforceUI Studio in a Conda environment is to use the provided conda_environment.yml file. This file contains all the dependencies required to run the application, making the installation process even simpler.

1

Clone the repository

  git clone git@github.com:dvalenciar/ReinforceUI-Studio.git
  cd ReinforceUI-Studio
2

Create a new Conda environment using the `conda_environment.yml` file

  conda env create -f conda_environment.yml
3

Activate the Conda environment

  conda activate reinforceui
4

Run the application

  python main.py

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Virtual Python Environment

If you do not like Conda, a virtual Python environment is another option for installing ReinforceUI Studio. A virtual Python environment is an isolated setup that allows you to manage project dependencies without affecting your system’s Python or other projects. It’s ideal for users who prefer lightweight setups without additional package managers like Conda.

1

Create a new virtual Python environment

  python3 -m venv reinforceui
  source reinforceui/bin/activate
2

Clone the repository

  git clone git@github.com:dvalenciar/ReinforceUI-Studio.git
  cd ReinforceUI-Studio
3

Install the required dependencies

  pip install -r requirements.txt
4

Run the application

  python main.py

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Docker Container

Docker is a popular containerization tool that simplifies the deployment of applications across different platforms. This method is perfect for users who want a hassle-free, isolated setup without worrying about managing dependencies. Make sure Docker is installed on your system. Docker installation instructions Docker Installation.

To make it even easier, we have already provided a pre-built image, ready to run in a Docker container.

1

Pull the ReinforceUI Studio Docker image:

      docker pull ghcr.io/dvalenciar/reinforceui-studio:latest
2

Run the Docker container

  xhost +local:
  docker run -it --rm   -e DISPLAY=$DISPLAY   -v /tmp/.X11-unix:/tmp/.X11-unix   -v /home/{user_name}:/root/logs   reinforceui-studio bash

You can get your {user_name} by running: whoami, for example, in my case, the full command is:

  docker run -it --rm   -e DISPLAY=$DISPLAY   -v /tmp/.X11-unix:/tmp/.X11-unix   -v /home/david:/root/logs  reinforceui-studio bash
3

Inside the docker container, run the application: 

    python main.py

There are some issues with the docker folder log and some video records; we are working on it.

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