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stable-diffusion-webui by AUTOMATIC1111 with patches for gfx803 GPU and Dockerfile
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network_oft.py
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2024-02-26
Merge pull request #14973 from AUTOMATIC1111/Fix-new-oft-boft
AUTOMATIC1111
Fix the OFT/BOFT bugs when using new LyCORIS implementation
2024-02-19
Merge pull request #14871 from v0xie/boft
AUTOMATIC1111
Support inference with LyCORIS BOFT networks
2024-01-22
fix: wrong devices for eye and constraint
v0xie
2024-01-05
Fix dtype casting for OFT module
Kohaku-Blueleaf
2023-12-14
better naming and correct order for device.
Kohaku-Blueleaf
2023-12-14
remove debug print
Kohaku-Blueleaf
2023-12-14
Use self.scale instead of custom finalize
Kohaku-Blueleaf
2023-12-14
Fix network_oft
Kohaku-Blueleaf
2023-11-15
feat: LyCORIS/kohya OFT network support
v0xie
2023-11-15
fix: ignore calc_scale() for COFT which has very small alpha
v0xie
2023-11-04
refactor: remove unused function
v0xie
2023-11-04
refactor: use same updown for both kohya OFT and LyCORIS diag-oft
v0xie
2023-11-03
refactor: move factorization to lyco_helpers, separate calc_updown for kohya ↵
v0xie
and kb
2023-11-03
skip multihead attn for now
v0xie
2023-11-02
no idea what i'm doing, trying to support both type of OFT, kblueleaf ↵
v0xie
diag_oft has MultiheadAttn which kohya's doesn't?, attempt create new module based off network_lora.py, errors about tensor dim mismatch
2023-11-01
test implementation based on kohaku diag-oft implementation
v0xie
2023-10-22
style: conform style
v0xie
2023-10-22
fix: multiplier applied twice in finalize_updown
v0xie
2023-10-22
refactor: remove used OFT functions
v0xie
2023-10-21
fix: use merge_weight to cache value
v0xie
2023-10-21
style: cleanup oft
v0xie
2023-10-21
fix: support multiplier, no forward pass hook
v0xie
2023-10-21
fix: return orig weights during updown, merge weights before forward
v0xie
2023-10-21
refactor: use forward hook instead of custom forward
v0xie
2023-10-19
style: fix ambiguous variable name
v0xie
2023-10-19
style: formatting
v0xie
2023-10-19
refactor: fix constraint, re-use get_weight
v0xie
2023-10-18
faster by calculating R in updown and using cached R in forward
v0xie
2023-10-18
faster by using cached R in forward
v0xie
2023-10-18
inference working but SLOW
v0xie
2023-10-17
wip incorrect OFT implementation
v0xie