[D] New UNET models for bio image segmentation?

Does anyone know what is now state of the art UNET models for bio image segmentation (fluorescence) that can be fine tuned to our dataset without starting from scratch and that could be done on a 4 to 8GB VRAM and if possible multi-classes segmentation? (I know I know I am asking a lot).
I have seen some UNET transformers that implement cross attention etc, so that should decrease VRAM requirement and increase speed right?

Folks have improved Whisper using …

art attention bio dataset image inference jax machinelearning people segmentation speed state state of the art transformers unet whisper