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Radiata Documentation

website·Indexed 30 days ago

https://ddpn08.github.io/Radiata

Radiata is a Stable Diffusion WebUI based on diffusers. The documentation provides installation guides for Windows and Linux (requiring Python 3.10 and Git), usage instructions for the WebUI, and support for Deepfloyd IF and NVIDIA TensorRT high-speed inference engines.

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What's inside Radiata

  1. Contribute to Radiata documentation

    Radiata documentation is written in Markdown and located in the docs folder. Contributors can edit files directly on GitHub or clone the repository for local editing. Changes submitted via pull requests are subject to review and approval before being merged and deployed via the CI/CD pipeline.

  2. Access the Radiata WebUI

    After starting the application, access the WebUI by navigating to http://localhost:7860 in your browser. If you are using remote hosting, use the address in the format <ip address>:<port number>.

  3. Install Radiata on Linux

    To install Radiata on a Linux system, ensure you have Python 3.10 and Git installed. The installation process involves cloning the official GitHub repository, navigating into the project directory, and executing the provided launch script.
    # Clone the repository
git clone https://github.com/ddPn08/Radiata.git

# Navigate to the directory
cd Radiata

# Run the launch script
bash launch.sh

  4. Install and launch Radiata on Windows

    To install Radiata on Windows, ensure you have Python 3.10 and Git installed. Clone the repository, navigate into the project directory, and execute the launch batch file from the root directory to start the application.
    # Clone the repository
git clone https://github.com/ddPn08/Radiata.git

# Enter the repository directory
cd Radiata

# Run the application
.\launch-user.bat

  6. Enable Deepfloyd IF on Windows

    To use Deepfloyd IF on Windows, modify the webui-user.bat file to include the --deepfloyd_if flag in the COMMANDLINE_ARGS variable, then execute launch-user.bat.
    @echo off

set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS=--deepfloyd_if

call launch.bat

  7. Contribute to Radiata documentation

    Radiata documentation is written in Markdown and stored in the docs folder. Contributions can be made by editing files directly on GitHub or by cloning the repository locally. All changes must be submitted via a Pull Request for review before being merged and deployed via the CI/CD pipeline.

  8. Enable TensorRT on Windows

    To enable TensorRT on Windows, add the --tensorrt flag to the COMMANDLINE_ARGS variable within the webui-user.bat file, then execute launch-user.bat.
    @echo off

set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS=--tensorrt

call launch.bat

  10. Install Radiata on Linux

    To install Radiata on Linux, ensure you have Python 3.10 and Git installed. The process involves cloning the official repository, navigating into the project directory, and executing the launch script.
    # Clone the Radiata repository
git clone https://github.com/ddPn08/Radiata.git

# Enter the repository directory
cd Radiata

# Run the launch script
bash launch.sh

  11. Use HuggingFace Diffusers models in Radiata

    To use a model from HuggingFace Diffusers, follow these steps:

    1. Obtain the Model ID from HuggingFace.
    2. Add the model via the header menu in the application.
    3. Select the desired model from the header dropdown menu.