Bug Fixes

Fixed 16-bit image scaling: Photoshop uses a 0–32768 range for 16-bit data, not 0–65535. The incorrect divisor caused pixel values to arrive at the model at half intensity, resulting in lost nebulosity detail and artificially brightened stars.
Upgraded Core ML model from FP16 to FP32 precision (237 MB). FP16 introduced rounding errors in the NAFNet residual connection, degrading output quality compared to the Python reference.
Added input/output clamping to 0–1 on all inference paths to prevent out-of-range values.
Result

Plugin output is now identical to the Python reference