Kohya S 999df5ec15 fix: update default values for timestep_sampling and model_prediction_type in training arguments

2025-07-13 20:52:00 +09:00

..

ipex

Update IPEX libs

2025-06-13 16:25:16 +03:00

__init__.py

Proposed file structure rework and required file changes

2022-12-18 15:24:46 -05:00

adafactor_fused.py

add stochastic rounding, fix single block

2024-08-21 21:04:10 +09:00

attention_processors.py

update diffusers to 1.16 | train_network

2023-06-01 20:39:26 +09:00

config_util.py

feat: update lumina system prompt handling

2025-06-29 21:33:09 +09:00

custom_offloading_utils.py

Fix validation block swap. Add custom offloading tests

2025-02-27 20:36:36 -05:00

custom_train_functions.py

Fix training, validation split, revert to using upstream implemenation

2025-01-03 15:20:25 -05:00

deepspeed_utils.py

update deepspeed wrapper

2025-04-24 11:26:36 +08:00

device_utils.py

Update IPEX libs

2025-02-25 21:27:41 +03:00

flux_models.py

#

2025-04-22 16:15:12 +08:00

flux_train_utils.py

Fix unwrap_model handling for None text_encoders in sample_images function

2025-06-08 18:00:24 +09:00

flux_utils.py

add schnell option to load_cn

2024-11-30 00:08:21 +09:00

huggingface_util.py

Replace print with logger if they are logs (#905)

2024-02-04 18:14:34 +09:00

hypernetwork.py

update diffusers to 1.16 | train_network

2023-06-01 20:39:26 +09:00

jpeg_xl_util.py

doc: update license information in jpeg_xl_util.py

2025-03-31 22:02:25 +09:00

lpw_stable_diffusion.py

Replace print with logger if they are logs (#905)

2024-02-04 18:14:34 +09:00

lumina_models.py

Add lumina tests and fix image masks

2025-06-09 21:14:51 -04:00

lumina_train_util.py

fix: update default values for timestep_sampling and model_prediction_type in training arguments

2025-07-13 20:52:00 +09:00

lumina_util.py

Add lumina tests and fix image masks

2025-06-09 21:14:51 -04:00

model_util.py

Remove position_ids for V2

2025-02-20 04:49:51 -05:00

original_unet.py

Replace print with logger if they are logs (#905)

2024-02-04 18:14:34 +09:00

sai_model_spec.py

Update metadata.resolution for Lumina 2

2025-02-16 01:36:29 -05:00

sd3_models.py

Fix validation block swap. Add custom offloading tests

2025-02-27 20:36:36 -05:00

sd3_train_utils.py

Add lumina tests and fix image masks

2025-06-09 21:14:51 -04:00

sd3_utils.py

support SD3.5M

2024-10-30 12:51:49 +09:00

sdxl_lpw_stable_diffusion.py

sample generation in SDXL ControlNet training

2024-09-30 23:39:32 +09:00

sdxl_model_util.py

use original ControlNet instead of Diffusers

2024-09-29 23:07:34 +09:00

sdxl_original_control_net.py

use original ControlNet instead of Diffusers

2024-09-29 23:07:34 +09:00

sdxl_original_unet.py

use original ControlNet instead of Diffusers

2024-09-29 23:07:34 +09:00

sdxl_train_util.py

Merge branch 'dev' into sd3

2025-02-24 18:56:15 +09:00

slicing_vae.py

Replace print with logger if they are logs (#905)

2024-02-04 18:14:34 +09:00

strategy_base.py

Fix samples, LoRA training. Add system prompt, use_flash_attn

2025-02-23 01:29:18 -05:00

strategy_flux.py

Support SD3.5M multi resolutional training

2024-10-31 19:58:22 +09:00

strategy_lumina.py

fix: update system prompt handling

2025-06-29 22:21:48 +09:00

strategy_sd3.py

Support SD3.5M multi resolutional training

2024-10-31 19:58:22 +09:00

strategy_sd.py

Fix training, validation split, revert to using upstream implemenation

2025-01-03 15:20:25 -05:00

strategy_sdxl.py

support weighted captions for SD/SDXL

2024-10-11 08:48:55 +09:00

train_util.py

Revert system_prompt for dataset config

2025-06-16 16:50:18 -04:00

utils.py

Fix the interpolation logic error in resize_image()

2025-04-02 22:04:37 +08:00