334 Commits

Author	SHA1	Message	Date
Artiprocher	42ec7b08eb	bugfix	2025-09-04 15:45:39 +08:00
Artiprocher	d049fb6d1d	bugfix	2025-09-04 15:44:37 +08:00
Artiprocher	144365b07d	merge data process to training script	2025-09-04 15:18:56 +08:00
Artiprocher	cb8de6be1b	move training code to base trainer	2025-09-03 12:03:49 +08:00
Artiprocher	b6da77e468	qwen-image splited training	2025-09-02 16:44:14 +08:00
Artiprocher	260e32217f	unified dataset	2025-09-02 13:14:08 +08:00
Artiprocher	6a46f32afe	update Qwen-Image Quickstart	2025-08-29 14:09:49 +08:00
Zhongjie Duan	febdaf6067	Merge pull request #856 from lzws/main ... add wan2.2-fun training scripts	2025-08-29 12:34:55 +08:00
mi804	9cea10cc69	minor fix	2025-08-28 10:13:52 +08:00
mi804	caa17da5b9	wans2v readme	2025-08-27 20:05:44 +08:00
mi804	fdeb363fa2	wans2v usp	2025-08-27 19:50:33 +08:00
mi804	b541b9bed2	wans2v inference	2025-08-27 11:51:56 +08:00
lzws	86e509ad31	update wan2.2-fun training scripts	2025-08-26 17:22:41 +08:00
lzws	2b7a2548b4	update wan2.2-fun model overview in readme	2025-08-26 17:11:48 +08:00
lzws	f0916e6bae	update wan2.2-fun training scripts	2025-08-26 16:37:47 +08:00
Artiprocher	ce0b948655	support qwen-image fp8 lora training	2025-08-25 20:32:36 +08:00
lzws	c795e35142	add wan2.2-fun-A14B inp, control and control-camera (#839) ... * update wan2.2-fun * update wan2.2-fun * update wan2.2-fun * add examples * update wan2.2-fun * update wan2.2-fun * Rename Wan2.2-Fun-A14B-Inp.py to Wan2.2-Fun-A14B-InP.py --------- Co-authored-by: lzw478614@alibaba-inc.com <lzw478614@alibaba-inc.com>	2025-08-22 14:20:31 +08:00
Artiprocher	613dafbd09	rename model	2025-08-21 13:35:47 +08:00
mi804	d0467a7e8d	fix controlnet annotator	2025-08-20 23:28:40 +08:00
mi804	5e6f9f89f1	support eligenv2 and context_control	2025-08-20 22:48:34 +08:00
mi804	7e348083ae	minor fix	2025-08-20 12:42:11 +08:00
mi804	29b12b2f4e	support edit_image_auto_resize	2025-08-20 12:36:26 +08:00
mi804	838b8109b1	support qwen-image-edit lowres fix	2025-08-19 20:15:36 +08:00
mi804	fff2c89360	fix bug	2025-08-19 12:38:33 +08:00
mi804	123f6dbadb	update lora and full train	2025-08-18 19:09:19 +08:00
Hong Zhang	f9ce261a0e	Merge branch 'main' into qwen-image-edit	2025-08-18 18:56:26 +08:00
mi804	d93de98a21	fix qwen_rope	2025-08-18 17:31:18 +08:00
mi804	ad1da43476	fix validate full	2025-08-18 16:17:40 +08:00
mi804	398b1dbd7a	fix inference	2025-08-18 16:10:01 +08:00
mi804	9f6922bba9	support qwen-image-edit	2025-08-18 16:07:45 +08:00
Artiprocher	7ed09bb78d	add inpaint mask in qwen-image	2025-08-18 15:16:38 +08:00
mi804	2d09318236	support qwen-image inpaint controlnet	2025-08-16 17:12:29 +08:00
Zhongjie Duan	7dc49bd036	Merge pull request #806 from mi804/wan2.2_boundary ... fix training boundary for wan2.2 A14B	2025-08-15 18:43:37 +08:00
Artiprocher	01a1f48f70	support qwen-image blockwise controlnet training	2025-08-15 18:41:01 +08:00
mi804	6a9d875d65	fix training boundary for wan2.2 A14B	2025-08-15 17:54:52 +08:00
Artiprocher	e1c2eda5f5	add low vram examples	2025-08-15 11:31:57 +08:00
mi804	3212c83398	minor fix	2025-08-14 13:59:04 +08:00
mi804	49f9a11eb3	lora_checkpoint & weight_decay & qwen_image_controlnet_train	2025-08-14 13:50:04 +08:00
mi804	6e6136586c	support controlnet depth	2025-08-13 13:36:26 +08:00
Artiprocher	1d76d5e828	support qwen-image controlnet	2025-08-12 17:17:08 +08:00
Artiprocher	9a8982efb1	Qwen-Image-Distill-LoRA	2025-08-11 15:01:21 +08:00
Artiprocher	166a8734fe	remove lora format alignment	2025-08-08 19:05:06 +08:00
Artiprocher	89c4e3bdb6	lora-fix	2025-08-08 18:55:13 +08:00
Zhongjie Duan	32cf5d32ce	Qwen-Image FP8 (#761) ... * support qwen-image-fp8 * refine README * bugfix * bugfix	2025-08-07 16:56:02 +08:00
mi804	57128dc89f	update readme for qwen-image-eligen	2025-08-07 13:42:47 +08:00
mi804	bee2a969e5	minor fix readme and path	2025-08-06 17:48:44 +08:00
mi804	d3224e1fdc	update qwen-image-eligen readme	2025-08-06 17:36:28 +08:00
mi804	3c2f85606f	update model	2025-08-06 17:23:05 +08:00
mi804	1f25ad416b	Merge branch 'main' into qwen-image-eligen	2025-08-06 15:57:13 +08:00
Zhongjie Duan	d0b9b25db7	Merge pull request #749 from mi804/training_args ... support num_workers,save_steps,find_unused_parameters	2025-08-06 15:54:04 +08:00