Kohya S e836b7f66d fix: chroma LoRA training without Text Encode caching

2025-08-30 09:30:24 +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

chroma_models.py

feat: implement modulation vector extraction for Chroma and update related methods

2025-07-30 21:34:49 +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

feat: implement modulation vector extraction for Chroma and update related methods

2025-07-30 21:34:49 +09:00

flux_train_utils.py

feat: add LoRA training support for Chroma

2025-07-20 19:00:09 +09:00

flux_utils.py

fix: chroma LoRA training without Text Encode caching

2025-08-30 09:30:24 +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

feat: support Neta Lumina all-in-one weights

2025-07-15 21:34:35 +09:00

model_util.py

feat: update libraries, remove warnings

2025-08-16 20:07:03 +09:00

original_unet.py

feat: update libraries, remove warnings

2025-08-16 20:07:03 +09:00

sai_model_spec.py

Set sai_model_spec to must

2025-08-03 00:43:09 -04:00

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

fix model type handling in analyze_state_dict_state function for SD3

2025-08-13 21:38:51 +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

feat: update libraries, remove warnings

2025-08-16 20:07:03 +09:00

utils.py

Fix the interpolation logic error in resize_image()

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