Diffugen

🚀 DiffuDiffusion Usage Documentation

DiffuDiffusion is a powerful tool for generating images. It provides a simple and efficient way to generate high - quality images based on user prompts.

🚀 Quick Start

Basic Usage

1. Run the script directly Use the following command to generate an image:

   ./diffugen.sh "Your prompt"
   

   • Example: ./diffugen.sh "A cat standing on a rock with a beautiful view"

2. Use via OpenAPI interface You can generate images by accessing the local OpenAPI service:

   curl -X POST http://0.0.0.0:5199/generate/flux \
       -H "Content-Type: application/json" \
       -d '{"prompt":"Your prompt","width":512,"height":512}'
   

Configuration File

Edit the config.json file to adjust the following parameters:

• Model path: Specify the storage location of the model file.
• Output directory: Set the save path for the generated images.
• GPU configuration: Configure CUDA or other GPU acceleration options.

📦 Installation

Installation Steps

1. Download the project Clone the repository to your local machine using the following command:

   git clone https://github.com/CLOUDWERX-DEV/diffu.git
   cd diffu
   

2. Install dependencies Make sure you have installed the following tools:

   • Git: For version control.
   • C++ compiler: Such as g++, for compiling code.
   • Python 3: For running scripts and managing configurations.

3. Download the model After entering the project directory, execute the following command to download the necessary model files:

   ./download_models.sh
   

4. Configure environment variables Set the relevant environment variables according to the instructions in the documentation to ensure that the program can find the models and dependencies.

5. Run tests Verify the installation by running the provided test script:

   ./test.sh
   

📚 Documentation

Model Management

1. Download new models Use the download_models.sh script to get the latest model version:

   ./download_models.sh --model-name new-model-version
   

2. Delete old models Manually remove the no - longer needed model files to ensure sufficient disk space.

3. Update models If a new version is available, you can automatically update it through the script:

   ./update_models.sh
   

Logging and Debugging

1. Enable logging Enable debug mode when running the script to get detailed log information:

   DEBUG=1 ./diffugen.sh "Your prompt"
   

2. View log files Check the log files in the logs/ directory to diagnose potential problems.

📚 Educational Resources

Learning Materials

• Official documentation: Detailed technical specifications and usage guides.
• Tutorial videos: Step - by - step tutorials are provided on YouTube.
• Community forum: Participate in discussions and get technical support.

Frequently Asked Questions

1. Model loading fails

   • Check if the model file is correctly downloaded and the path is correct.
   • Ensure that all dependencies are installed and configured correctly.

2. GPU is unavailable

   • Update the NVIDIA driver to the latest version.
   • Specify the correct CUDA_VISIBLE_DEVICES setting in the environment variables to locate the specific GPU.

3. Poor image quality

   • Increase the number of generation steps (improves quality but consumes more time).
   • Adjust the CFG scale: A higher value makes the output closer to the prompt, while a lower value is more creative.
   • Choose a different sampling method, such as dpm++2m, which usually works well.

4. Permission issues

   • Ensure that the output directory has write permissions for the user running the script.
   • Check if all scripts have execution permissions (use chmod +x diffugen.sh).

🛠️ Development and Contribution

Contribution Guidelines

1. Fork the repository Fork the project on GitHub to get your own copy.

2. Create a feature branch Create an independent branch for new features or fixes:

   git checkout -b feature/new-feature
   

3. Commit changes After making modifications, commit them to the local repository and push them to the remote:

   git add .  
   git commit -m "Add new feature"
   git push origin feature/new-feature
   

4. Submit a pull request Create a Pull Request on GitHub for review and merging.

Coding Standards

• Follow the existing coding style in the project.
• Ensure that the commit messages are clear and describe the changes.
• Conduct sufficient unit tests to ensure that new features work properly and there are no regression errors.

📞 Support

Contact Information

• Email: support@diffu.com
• GitHub: https://github.com/CLOUDWERX-DEV/diffu
• Discord: Join the community Discord server to participate in discussions.

📄 License

The project follows the MIT license. See the LICENSE file for details.

Thank you for choosing DiffuDiffusion! If you have any questions or suggestions, please feel free to contact us.