EthanfelandClaude Opus 4.8
f415ca7338
Robust-slice follow-up to the low-rank bypass. Two changes to _DiffCache: 1. Store fp32, not fp16. A cache hit is now numerically identical to a recompute, so results are independent of diff_cache_mode and of what fit in the cache (they match the 'disabled' path). Removes the documented ~1e-5 cache-vs-disabled score shift. 2. 'auto' mode recomputes past the RAM budget instead of spilling dense diffs to disk (recompute beats disk I/O — that spill once made Pass-2 98% disk wait). Explicit 'disk' mode is unchanged for those who want it. Together these make caching purely a perf/memory policy with zero effect on results. Algo version 1.11.1 -> 1.11.2 (also covers the earlier low-rank bypass numerics); invalidates rankings cached under the old fp16 regime. Registry 1.8.0. Tooltips updated; +2 regression tests (277 pass). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
21 lines
593 B
TOML
21 lines
593 B
TOML
[project]
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name = "comfyui-lora-optimizer"
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description = "Auto-optimizer node for combining multiple LoRAs via diff-based merging with TIES conflict resolution"
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version = "1.8.0"
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license = { text = "GPL-3.0-only" }
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dependencies = [
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"scikit-learn>=1.3",
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]
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[project.urls]
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Repository = "https://github.com/ethanfel/ComfyUI-LoRA-Optimizer"
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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addopts = "--import-mode=importlib"
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[tool.comfy]
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PublisherId = "ethanfel"
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DisplayName = "LoRA Optimizer"
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Icon = "https://raw.githubusercontent.com/ethanfel/ComfyUI-LoRA-Optimizer/main/assets/banner.svg"
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