Commit Graph

33 Commits

Author SHA1 Message Date
Kohya S
fe2aa32484 adjust min/max bucket reso divisible by reso steps #1632 2024-09-29 09:49:25 +09:00
Kohya S
e4d9e3c843 remove dependency for omegaconf #ref 1284 2024-05-19 17:46:07 +09:00
Kohya S
de0e0b9468 Merge pull request #1284 from sdbds/fix_traincontrolnet
Fix train controlnet
2024-05-19 17:39:15 +09:00
Kohya S
c68baae480 add --log_config option to enable/disable output training config 2024-05-19 17:21:04 +09:00
青龍聖者@bdsqlsz
4477116a64 fix train controlnet 2024-04-20 21:26:09 +08:00
Maatra
2c9db5d9f2 passing filtered hyperparameters to accelerate 2024-04-20 14:11:43 +01:00
kabachuha
90b18795fc Add option to use Scheduled Huber Loss in all training pipelines to improve resilience to data corruption (#1228)
* add huber loss and huber_c compute to train_util

* add reduction modes

* add huber_c retrieval from timestep getter

* move get timesteps and huber to own function

* add conditional loss to all training scripts

* add cond loss to train network

* add (scheduled) huber_loss to args

* fixup twice timesteps getting

* PHL-schedule should depend on noise scheduler's num timesteps

* *2 multiplier to huber loss cause of 1/2 a^2 conv.

The Taylor expansion of sqrt near zero gives 1/2 a^2, which differs from a^2 of the standard MSE loss. This change scales them better against one another

* add option for smooth l1 (huber / delta)

* unify huber scheduling

* add snr huber scheduler

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Co-authored-by: Kohya S <52813779+kohya-ss@users.noreply.github.com>
2024-04-07 13:54:21 +09:00
ykume
cd587ce62c verify command line args if wandb is enabled 2024-04-05 08:23:03 +09:00
Kohya S
a2b8531627 make each script consistent, fix to work w/o DeepSpeed 2024-03-25 22:28:46 +09:00
gesen2egee
095b8035e6 save state on train end 2024-03-10 23:33:38 +08:00
Kohya S
f4132018c5 fix to work with cpu_count() == 1 closes #1134 2024-02-24 19:25:31 +09:00
Kohya S
baa0e97ced Merge branch 'dev' into dev_device_support 2024-02-17 11:54:07 +09:00
Kohya S
93bed60762 fix to work --console_log_xxx options 2024-02-12 14:49:29 +09:00
Kohya S
358ca205a3 Merge branch 'dev' into dev_device_support 2024-02-12 13:01:54 +09:00
Kohya S
e24d9606a2 add clean_memory_on_device and use it from training 2024-02-12 11:10:52 +09:00
Kohya S
055f02e1e1 add logging args for training scripts 2024-02-08 21:16:42 +09:00
Yuta Hayashibe
5f6bf29e52 Replace print with logger if they are logs (#905)
* Add get_my_logger()

* Use logger instead of print

* Fix log level

* Removed line-breaks for readability

* Use setup_logging()

* Add rich to requirements.txt

* Make simple

* Use logger instead of print

---------

Co-authored-by: Kohya S <52813779+kohya-ss@users.noreply.github.com>
2024-02-04 18:14:34 +09:00
Disty0
a6a2b5a867 Fix IPEX support and add XPU device to device_utils 2024-01-31 17:32:37 +03:00
Aarni Koskela
afc38707d5 Refactor memory cleaning into a single function 2024-01-23 14:28:50 +02:00
Aarni Koskela
6f3f701d3d Deduplicate ipex initialization code 2024-01-19 18:07:36 +02:00
Kohya S
32b759a328 Add wandb_run_name parameter to init_kwargs #1032 2024-01-14 22:02:03 +09:00
Kohya S
912dca8f65 fix duplicated sample gen for every epoch ref #907 2023-12-07 22:13:38 +09:00
Kohya S
383b4a2c3e Merge pull request #907 from shirayu/add_option_sample_at_first
Add option --sample_at_first
2023-12-03 21:00:32 +09:00
feffy380
6b3148fd3f Fix min-snr-gamma for v-prediction and ZSNR.
This fixes min-snr for vpred+zsnr by dividing directly by SNR+1.
The old implementation did it in two steps: (min-snr/snr) * (snr/(snr+1)), which causes division by zero when combined with --zero_terminal_snr
2023-11-07 23:02:25 +01:00
Yuta Hayashibe
2c731418ad Added sample_images() for --sample_at_first 2023-10-29 22:08:42 +09:00
Yuta Hayashibe
9d00c8eea2 Use LossRecorder 2023-10-27 18:31:36 +09:00
Yuta Hayashibe
27f9b6ffeb updated typos to v1.16.15 and fix typos 2023-10-01 21:51:24 +09:00
Disty0
b64389c8a9 Intel ARC support with IPEX 2023-09-19 18:05:05 +03:00
ddPn08
b841dd78fe make tracker init_kwargs configurable 2023-07-11 10:21:45 +09:00
Kohya S
11e8c7d8ff fix to work controlnet training 2023-06-24 09:35:33 +09:00
ddPn08
1e3daa247b fix bucketing 2023-06-01 21:58:45 +09:00
ddPn08
3bd00b88c2 support for controlnet in sample output 2023-06-01 20:48:30 +09:00
ddPn08
62d00b4520 add controlnet training 2023-06-01 20:48:25 +09:00