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- networks/network_base.py: shared AdditionalNetwork base class with architecture auto-detection (SDXL/Anima) and generic module injection - networks/loha.py: LoHa (Low-rank Hadamard Product) module with HadaWeight custom autograd, training/inference classes, and factory functions - networks/lokr.py: LoKr (Low-rank Kronecker Product) module with factorization, training/inference classes, and factory functions - library/lora_utils.py: extend weight merge hook to detect and merge LoHa/LoKr weights alongside standard LoRA Linear and Conv2d 1x1 layers only; Conv2d 3x3 (Tucker decomposition) support will be added separately. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
14 lines
127 B
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14 lines
127 B
Plaintext
logs
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__pycache__
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wd14_tagger_model
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venv
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*.egg-info
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build
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.vscode
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wandb
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CLAUDE.md
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GEMINI.md
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.claude
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.gemini
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MagicMock
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references |