 v0xie
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2f1073dc6e
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style: fix lint
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2024-02-07 04:55:11 -08:00 |
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v0xie
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81c16c965e
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fix: add butterfly_factor fn
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2024-02-07 04:54:14 -08:00 |
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v0xie
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a4668a16b6
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fix: calculate butterfly factor
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2024-02-07 04:51:22 -08:00 |
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v0xie
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9588721197
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feat: support LyCORIS BOFT
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2024-02-07 04:49:17 -08:00 |
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v0xie
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fd383140cf
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fix: wrong devices for eye and constraint
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2024-01-22 02:52:34 -08:00 |
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v0xie
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eb667e715a
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feat: LyCORIS/kohya OFT network support
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2023-11-15 18:28:48 -08:00 |
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v0xie
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d6d0b22e66
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fix: ignore calc_scale() for COFT which has very small alpha
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2023-11-15 03:08:50 -08:00 |
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v0xieandGitHub
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7edd50f304
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Merge pull request #2 from v0xie/network-oft-change-impl
Use same updown implementation for LyCORIS OFT as kohya-ss OFT
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2023-11-04 15:06:04 -07:00 |
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v0xie
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bbf00a96af
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refactor: remove unused function
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2023-11-04 14:56:47 -07:00 |
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v0xie
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329c8bacce
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refactor: use same updown for both kohya OFT and LyCORIS diag-oft
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2023-11-04 14:54:36 -07:00 |
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v0xieandGitHub
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1dd25be037
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Merge pull request #1 from v0xie/oft-faster
Support LyCORIS diag-oft OFT implementation (minus MultiheadAttention layer), maintains support for kohya-ss OFT
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2023-11-03 19:47:27 -07:00 |
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v0xie
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f6c8201e56
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refactor: move factorization to lyco_helpers, separate calc_updown for kohya and kb
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2023-11-03 19:35:15 -07:00 |
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v0xie
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fe1967a4c4
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skip multihead attn for now
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2023-11-03 17:52:55 -07:00 |
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v0xie
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d727ddfccd
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no idea what i'm doing, trying to support both type of OFT, kblueleaf diag_oft has MultiheadAttn which kohya's doesn't?, attempt create new module based off network_lora.py, errors about tensor dim mismatch
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2023-11-02 00:13:11 -07:00 |
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v0xie
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65ccd6305f
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detect diag_oft type
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2023-11-02 00:11:32 -07:00 |
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v0xie
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a2fad6ee05
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test implementation based on kohaku diag-oft implementation
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2023-11-01 22:34:27 -07:00 |
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v0xie
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6523edb8a4
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style: conform style
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2023-10-22 09:31:15 -07:00 |
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v0xie
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3b8515d2c9
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fix: multiplier applied twice in finalize_updown
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2023-10-22 09:27:48 -07:00 |
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v0xie
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4a50c9638c
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refactor: remove used OFT functions
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2023-10-22 08:54:24 -07:00 |
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v0xie
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de8ee92ed8
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fix: use merge_weight to cache value
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2023-10-21 17:37:17 -07:00 |
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v0xie
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76f5abdbdb
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style: cleanup oft
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2023-10-21 16:07:45 -07:00 |
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v0xie
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fce86ab7d7
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fix: support multiplier, no forward pass hook
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2023-10-21 16:03:54 -07:00 |
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v0xie
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7683547728
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fix: return orig weights during updown, merge weights before forward
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2023-10-21 14:42:24 -07:00 |
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v0xie
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2d8c894b27
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refactor: use forward hook instead of custom forward
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2023-10-21 13:43:31 -07:00 |
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v0xie
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0550659ce6
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style: fix ambiguous variable name
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2023-10-19 13:13:02 -07:00 |
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v0xie
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d10c4db57e
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style: formatting
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2023-10-19 12:52:14 -07:00 |
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v0xie
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321680ccd0
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refactor: fix constraint, re-use get_weight
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2023-10-19 12:41:17 -07:00 |
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v0xie
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eb01d7f0e0
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faster by calculating R in updown and using cached R in forward
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2023-10-18 04:56:53 -07:00 |
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v0xie
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853e21d98e
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faster by using cached R in forward
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2023-10-18 04:27:44 -07:00 |
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v0xie
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1c6efdbba7
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inference working but SLOW
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2023-10-18 04:16:01 -07:00 |
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v0xie
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ec718f76b5
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wip incorrect OFT implementation
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2023-10-17 23:35:50 -07:00 |
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v0xie
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906d1179e9
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support inference with LyCORIS GLora networks
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2023-10-11 21:26:58 -07:00 |
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