flux:different results on different machines.

Hi！
During the debugging phase, I've noticed that training the [FLUX-Controlnet-Inpainting](https://github.com/alimama-creative/FLUX-Controlnet-Inpainting) model yields different results on different machines.

Specifically, on one machine, everything trains fine,
but on another, I'm getting an error that says "Gradient for module.xxx contains NaN!".

I've double-checked and confirmed that my code is exactly the same on both machines, and use the same seed in set_seed().

Has anyone else encountered this same issue? I'm curious to know if there are any potential causes for this discrepancy in training results across different machines. Any insights or suggestions would be greatly appreciated.

Comienza con la configuración de entrenamiento enlazada de FLUX-Controlnet-Inpainting y compara las dos máquinas, incluido el entorno y el punto en el que aparece el gradiente NaN. Reproduce la discrepancia con la misma seed; se considera terminado cuando se identifica una causa dependiente de la máquina o un fallo reproducible de forma fiable, y se documentan las condiciones relevantes.

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