FLUX has taken the world of AI image generation by storm in the last few months, beating Stable Diffusion and even some proprietary models on key benchmarks.
Creating your own custom FLUX server provides flexibility and can save costs compared to serverless hosts like Replicate, which can become expensive quickly.
To run FLUX effectively, it's essential to have proper prerequisites set up, including Python, torch, and other necessary libraries for smooth image generation.
For those using Macs with M1 or M2 chips, setting up PyTorch with Metal is crucial for optimal performance with FLUX.
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