fixed a sneaky little bug: SDXL micro-conditioning was using the resized image size and crop coords, which was a bit off~ now it happily uses the TRUE original size and original-image-space crop offsets, matching the kohya / diffusers convention, so the model finally understands each image’s real backstory

also, caption augmentation used the global random, so it got all mixed up on resume (´；ω；`) gave it its own little seeded RNG baby — its state is saved with the checkpoint and restored exactly, so training picks up right where it left off, no getting lost.

collate got a tiny shield too: if a batch mixes cached/uncached samples, it now complains LOUDLY instead of throwing a cryptic KeyError

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