* krea2: don't hardcode NVIDIA-only cuDNN SDPA backend
The krea2 attention() forced SDPBackend.CUDNN_ATTENTION, which is
NVIDIA-only. On non-NVIDIA backends (AMD ROCm, Intel XPU, Apple MPS)
every forward pass fails with 'RuntimeError: No available kernel.
Aborting execution.', so Krea 2 LoRA training cannot run at all there.
Pass a priority list [CUDNN, FLASH, EFFICIENT, MATH] instead. NVIDIA
still selects cuDNN; other backends fall back to flash/efficient/math.
Verified training end-to-end on an AMD Radeon 8060S (gfx1151, ROCm 7.2).
* Version bump
* Add set priority flag so CUDNN_ATTENTION is selected on cuda devices first.
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Co-authored-by: Jaret Burkett <jaretburkett@gmail.com>
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