FLUX has emerged as a frontrunner in AI image generation, surpassing both open-source and proprietary models with its performance on key benchmarks.
This guide will help you set up your own FLUX server using Python, making image generation based on text prompts efficient and more cost-effective.
Before starting, ensure you have the required tools and libraries like Python, torch, and fastapi to run your FLUX server smoothly.
For MacOS users with M1 or M2 chips, it's important to configure PyTorch with Metal to leverage optimal performance for FLUX.
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