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path: root/extensions-builtin/Lora/network_oft.py
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* Merge pull request #14300 from AUTOMATIC1111/oft_fixesAUTOMATIC11112023-12-141-26/+11
* feat: LyCORIS/kohya OFT network supportv0xie2023-11-161-82/+26
* fix: ignore calc_scale() for COFT which has very small alphav0xie2023-11-151-11/+5
* refactor: remove unused functionv0xie2023-11-041-47/+0
* refactor: use same updown for both kohya OFT and LyCORIS diag-oftv0xie2023-11-041-17/+74
* refactor: move factorization to lyco_helpers, separate calc_updown for kohya ...v0xie2023-11-041-101/+30
* skip multihead attn for nowv0xie2023-11-041-17/+37
* no idea what i'm doing, trying to support both type of OFT, kblueleaf diag_of...v0xie2023-11-021-47/+145
* test implementation based on kohaku diag-oft implementationv0xie2023-11-021-21/+38
* style: conform stylev0xie2023-10-221-1/+1
* fix: multiplier applied twice in finalize_updownv0xie2023-10-221-1/+22
* refactor: remove used OFT functionsv0xie2023-10-221-72/+10
* fix: use merge_weight to cache valuev0xie2023-10-221-17/+40
* style: cleanup oftv0xie2023-10-211-75/+7
* fix: support multiplier, no forward pass hookv0xie2023-10-211-10/+33
* fix: return orig weights during updown, merge weights before forwardv0xie2023-10-211-21/+69
* refactor: use forward hook instead of custom forwardv0xie2023-10-211-9/+24
* style: fix ambiguous variable namev0xie2023-10-191-2/+2
* style: formattingv0xie2023-10-191-2/+2
* refactor: fix constraint, re-use get_weightv0xie2023-10-191-24/+16
* faster by calculating R in updown and using cached R in forwardv0xie2023-10-181-7/+8
* faster by using cached R in forwardv0xie2023-10-181-3/+14
* inference working but SLOWv0xie2023-10-181-37/+36
* wip incorrect OFT implementationv0xie2023-10-181-0/+82
generated by cgit v1.2.3 (git 2.25.1) at 2025-04-28 12:23:04 +0000