Commit Graph

1962 Commits

Author SHA1 Message Date
Kohya S.
fba769222b Merge branch 'dev' into sd3 2024-09-23 21:20:02 +09:00
Kohya S
29177d2f03 retain alpha in pil_resize backport #1619 2024-09-23 21:14:03 +09:00
recris
e1f23af1bc make timestep sampling behave in the standard way when huber loss is used 2024-09-21 13:21:56 +01:00
Kohya S.
95ff9dba0c Merge pull request #1619 from emcmanus/patch-1
Retain alpha in `pil_resize` for `--alpha_mask`
2024-09-20 22:24:49 +09:00
Kohya S
583d4a436c add compatibility for int LR (D-Adaptation etc.) #1620 2024-09-20 22:22:24 +09:00
Kohya S.
24f8975fb7 Merge pull request #1620 from Akegarasu/sd3
fix: backward compatibility for text_encoder_lr
2024-09-20 22:16:39 +09:00
Akegarasu
0535cd29b9 fix: backward compatibility for text_encoder_lr 2024-09-20 10:05:22 +08:00
Ed McManus
de4bb657b0 Update utils.py
Cleanup
2024-09-19 14:38:32 -07:00
Ed McManus
3957372ded Retain alpha in pil_resize
Currently the alpha channel is dropped by `pil_resize()` when `--alpha_mask` is supplied and the image width does not exceed the bucket.

This codepath is entered on the last line, here:
```
def trim_and_resize_if_required(
    random_crop: bool, image: np.ndarray, reso, resized_size: Tuple[int, int]
) -> Tuple[np.ndarray, Tuple[int, int], Tuple[int, int, int, int]]:
    image_height, image_width = image.shape[0:2]
    original_size = (image_width, image_height)  # size before resize

    if image_width != resized_size[0] or image_height != resized_size[1]:
        # リサイズする
        if image_width > resized_size[0] and image_height > resized_size[1]:
            image = cv2.resize(image, resized_size, interpolation=cv2.INTER_AREA)  # INTER_AREAでやりたいのでcv2でリサイズ
        else:
            image = pil_resize(image, resized_size)
```
2024-09-19 14:30:03 -07:00
Kohya S
b844c70d14 Merge branch 'dev' into sd3 2024-09-19 21:51:33 +09:00
Kohya S.
0b7927e50b Merge pull request #1615 from Maru-mee/patch-1
Bug fix: alpha_mask load
2024-09-19 21:49:49 +09:00
Kohya S
706a48d50e Merge branch 'dev' into sd3 2024-09-19 21:15:39 +09:00
Kohya S
d7e14721e2 Merge branch 'main' into dev 2024-09-19 21:15:19 +09:00
Kohya S
9c757c2fba fix SDXL block index to match LBW 2024-09-19 21:14:57 +09:00
Maru-mee
e7040669bc Bug fix: alpha_mask load 2024-09-19 15:47:06 +09:00
Kohya S
1286e00bb0 fix to call train/eval in schedulefree #1605 2024-09-18 21:31:54 +09:00
Kohya S
e74502117b update README 2024-09-18 08:04:32 +09:00
Kohya S.
bbd160b4ca sd3 schedule free opt (#1605)
* New ScheduleFree support for Flux (#1600)

* init

* use no schedule

* fix typo

* update for eval()

* fix typo

* update

* Update train_util.py

* Update requirements.txt

* update sfwrapper WIP

* no need to check schedulefree optimizer

* remove debug print

* comment out schedulefree wrapper

* update readme

---------

Co-authored-by: 青龍聖者@bdsqlsz <865105819@qq.com>
2024-09-18 07:55:04 +09:00
Kohya S
a2ad7e5644 blocks_to_swap=0 means no swap 2024-09-17 21:42:14 +09:00
Kohya S
0cbe95bcc7 fix text_encoder_lr to work with int closes #1608 2024-09-17 21:21:28 +09:00
Kohya S
d8d15f1a7e add support for specifying blocks in FLUX.1 LoRA training 2024-09-16 23:14:09 +09:00
Kohya S
96c677b459 fix to work lienar/cosine lr scheduler closes #1602 ref #1393 2024-09-16 10:42:09 +09:00
Kohya S
be078bdaca fix typo 2024-09-15 13:59:17 +09:00
Kohya S
9f44ef1330 add diffusers to FLUX.1 conversion script 2024-09-15 13:52:23 +09:00
Kohya S
6445bb2bc9 update README 2024-09-14 22:37:26 +09:00
Kohya S
c9ff4de905 Add support for specifying rank for each layer in FLUX.1 2024-09-14 22:17:52 +09:00
Kohya S
2d8ee3c280 OFT for FLUX.1 2024-09-14 15:48:16 +09:00
Kohya S
0485f236a0 Merge branch 'dev' into sd3 2024-09-13 22:39:24 +09:00
Kohya S
93d9fbf607 improve OFT implementation closes #944 2024-09-13 22:37:11 +09:00
Kohya S
c15a3a1a65 Merge branch 'dev' into sd3 2024-09-13 21:30:49 +09:00
Kohya S
43ad73860d Merge branch 'main' into dev 2024-09-13 21:29:51 +09:00
Kohya S
b755ebd0a4 add LBW support for SDXL merge LoRA 2024-09-13 21:29:31 +09:00
Kohya S
f4a0bea6dc format by black 2024-09-13 21:26:06 +09:00
terracottahaniwa
734d2e5b2b Support Lora Block Weight (LBW) to svd_merge_lora.py (#1575)
* support lora block weight

* solve license incompatibility

* Fix issue: lbw index calculation
2024-09-13 20:45:35 +09:00
Kohya S
f3ce80ef8f Merge branch 'dev' into sd3 2024-09-13 19:49:16 +09:00
Kohya S
9d2860760d Merge branch 'main' into dev 2024-09-13 19:48:53 +09:00
Kohya S
3387dc7306 formatting, update README 2024-09-13 19:45:42 +09:00
Kohya S
57ae44eb61 refactor to make safer 2024-09-13 19:45:00 +09:00
Maru-mee
1d7118a622 Support : OFT merge to base model (#1580)
* Support : OFT merge to base model

* Fix typo

* Fix typo_2

* Delete unused parameter 'eye'
2024-09-13 19:01:36 +09:00
Kohya S
cefe52629e fix to work old notation for TE LR in .toml 2024-09-12 12:36:07 +09:00
Kohya S
237317fffd update README 2024-09-11 22:23:43 +09:00
Plat
a823fd9fb8 Improve wandb logging (#1576)
* fix: wrong training steps were recorded to wandb, and no log was sent when logging_dir was not specified

* fix: checking of whether wandb is enabled

* feat: log images to wandb with their positive prompt as captions

* feat: logging sample images' caption for sd3 and flux

* fix: import wandb before use
2024-09-11 22:21:16 +09:00
Kohya S
c7c666b182 fix typo 2024-09-11 22:12:31 +09:00
Kohya S.
d83f2e92da Merge pull request #1592 from cocktailpeanut/sd3
Critical typo fix
2024-09-11 22:10:37 +09:00
cocktailpeanut
8311e88225 typo fix 2024-09-11 09:02:29 -04:00
Kohya S
eaafa5c9da Merge branch 'dev' into sd3 2024-09-11 21:46:21 +09:00
Kohya S
6dbfd47a59 Fix to work PIECEWISE_CONSTANT, update requirement.txt and README #1393 2024-09-11 21:44:36 +09:00
青龍聖者@bdsqlsz
fd68703f37 Add New lr scheduler (#1393)
* add new lr scheduler

* fix bugs and use num_cycles / 2

* Update requirements.txt

* add num_cycles for min lr

* keep PIECEWISE_CONSTANT

* allow use float with warmup or decay ratio.

* Update train_util.py
2024-09-11 21:25:45 +09:00
Kohya S
65b8a064f6 update README 2024-09-10 21:20:38 +09:00
Kohya S
d10ff62a78 support individual LR for CLIP-L/T5XXL 2024-09-10 20:32:09 +09:00