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path: root/extensions-builtin/Lora/network_oft.py
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2024-02-26Merge pull request #14973 from AUTOMATIC1111/Fix-new-oft-boftAUTOMATIC1111-26/+24
Fix the OFT/BOFT bugs when using new LyCORIS implementation
2024-02-19Merge pull request #14871 from v0xie/boftAUTOMATIC1111-10/+48
Support inference with LyCORIS BOFT networks
2024-01-22fix: wrong devices for eye and constraintv0xie-2/+2
2024-01-05Fix dtype casting for OFT moduleKohaku-Blueleaf-3/+3
2023-12-14better naming and correct order for device.Kohaku-Blueleaf-2/+3
2023-12-14remove debug printKohaku-Blueleaf-1/+0
2023-12-14Use self.scale instead of custom finalizeKohaku-Blueleaf-18/+2
2023-12-14Fix network_oftKohaku-Blueleaf-10/+11
2023-11-15feat: LyCORIS/kohya OFT network supportv0xie-82/+26
2023-11-15fix: ignore calc_scale() for COFT which has very small alphav0xie-11/+5
2023-11-04refactor: remove unused functionv0xie-47/+0
2023-11-04refactor: use same updown for both kohya OFT and LyCORIS diag-oftv0xie-17/+74
2023-11-03refactor: move factorization to lyco_helpers, separate calc_updown for kohya ↵v0xie-101/+30
and kb
2023-11-03skip multihead attn for nowv0xie-17/+37
2023-11-02no idea what i'm doing, trying to support both type of OFT, kblueleaf ↵v0xie-47/+145
diag_oft has MultiheadAttn which kohya's doesn't?, attempt create new module based off network_lora.py, errors about tensor dim mismatch
2023-11-01test implementation based on kohaku diag-oft implementationv0xie-21/+38
2023-10-22style: conform stylev0xie-1/+1
2023-10-22fix: multiplier applied twice in finalize_updownv0xie-1/+22
2023-10-22refactor: remove used OFT functionsv0xie-72/+10
2023-10-21fix: use merge_weight to cache valuev0xie-17/+40
2023-10-21style: cleanup oftv0xie-75/+7
2023-10-21fix: support multiplier, no forward pass hookv0xie-10/+33
2023-10-21fix: return orig weights during updown, merge weights before forwardv0xie-21/+69
2023-10-21refactor: use forward hook instead of custom forwardv0xie-9/+24
2023-10-19style: fix ambiguous variable namev0xie-2/+2
2023-10-19style: formattingv0xie-2/+2
2023-10-19refactor: fix constraint, re-use get_weightv0xie-24/+16
2023-10-18faster by calculating R in updown and using cached R in forwardv0xie-7/+8
2023-10-18faster by using cached R in forwardv0xie-3/+14
2023-10-18inference working but SLOWv0xie-37/+36
2023-10-17wip incorrect OFT implementationv0xie-0/+82
generated by cgit v1.2.3 (git 2.39.1) at 2025-10-07 18:52:31 +0000