vae-lyra-sdxl-t5xl

I cooked an incorrect cross-attention mechanism based version where the clip_l was learning from the clip_g. This next version will have correctly decoupled behaviors and the correct cantor cross-attention formula. The simple logistics outcome is latents modified by invalid projections - not even cantor - and the representations housing the incorrect behavior towards the t5_xl. This version essentially weighted 20/60/5% reconstruction accuracy; L/G/T5. This means that it failed for obvious reasons. The t5 is supposed to come out different, but the L and G are supposed to be useful.