The fast linear merge path (_build_exact_linear_patch) produces LoRAAdapters
with rank = sum of all input ranks. SaveMergedLoRA was extracting these
weights directly without applying any SVD compression, making save_rank and
patch_compression settings ineffective for weighted_sum/weighted_average merges.
Fix: compress LoRAAdapter patches when current_rank > target_rank (where
target = save_rank when explicit, or fallback_rank in auto mode). Skip
LoCon patches (mid != None) which require special reshape handling.
Also improve auto-mode logging to explain rank growth (n_loras × avg_rank)
and direct users to set save_rank explicitly to control output file size.
Fix test discovery: __init__.py relative import fails when pytest imports it
as a standalone module. Guard with try/except to prevent all tests from
failing during collection/setup. Add pyproject.toml pytest config and
conftest.py to configure test discovery.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Auto-strength now uses pairwise cosine similarity for exact vector-sum
energy normalization instead of assuming orthogonal LoRAs
- Save Merged LoRA defaults to ComfyUI loras folder; supports absolute paths
- Add JS extension for LoRA Stack (Dynamic) widget show/hide
- Fix LTX architecture detection for middle_block/mid_block keys
- Update banner SVG with new feature tags
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove ZImageLoRAMerger, ZImageLoRAStackApply, ZImageLoRAMergeToSingle,
and ZImageLoRATrueMerge (as a registered node). Only LoRAStack and
LoRAOptimizer remain. ZImageLoRATrueMerge becomes _LoRAMergeBase
(internal base class). Rename file, update all references, rewrite README.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
