Eight findings from a review of 1.2.0. None changes behaviour for a correctly
paired LoRA and model; the first two matter when the pairing is wrong.
The FLUX and SDXL classifiers never received the dot-boundary fix the Universal
loader got, so an SDXL key "input_blocks.4.1.transformer_blocks.0.attn1.to_q.
weight" matched the nested transformer_blocks and was read as double-stream
block 0. The stack patterns are now anchored to the start of the module path,
since the nested stack is dot-preceded too.
Choosing the wrong loader for a model was silent: the keys still match, because
ComfyUI builds the key map from the model, so every tensor lands in whichever
single bucket the classifier reaches. A mismatch check now warns when 90% or
more of the UNet tensors land in one block -- a threshold rather than "all of
them" because cross-family names overlap slightly.
Also: families register through register_family() instead of mutating module
tables at import time; tooltips are stored per family so the shared "Text
Encoder" name no longer collides; the "_head_" output token no longer matches
multi_head_attention; unknown preset names warn; FLUX accepts negative block
indices; and a bucket boundary guarding an impossible fraction was dropped.
Tests grow from 55 to 71, adding tests/test_node_behaviour.py. The real ComfyUI
integration harnesses still classify 8000+ authentic keys across 11
architectures with nothing falling through.
Bumps version to 1.2.1.
