feng0w0
|
a5935e973a
|
训练快速上手
|
2025-12-29 09:23:59 +08:00 |
|
Zhongjie Duan
|
47545e1aab
|
Merge pull request #1126 from Leoooo333/main
Fixed: Wan S2V Long video severe quality downgrade
|
2025-12-15 19:09:39 +08:00 |
|
Junming Chen
|
a4d34d9f3d
|
Append: set video compress quality as original version.
|
2025-12-14 20:53:26 +00:00 |
|
Junming Chen
|
127cc9007a
|
Fixed: S2V Long video severe quality downgrade
|
2025-12-14 20:30:34 +00:00 |
|
lzws
|
e1f5db5f5c
|
add wan usp example
|
2025-12-12 20:24:27 +08:00 |
|
root
|
72af7122b3
|
DiffSynth-Studio 2.0 major update
|
2025-12-04 16:33:07 +08:00 |
|
Zhongjie Duan
|
8332ecebb7
|
Merge pull request #1034 from modelscope/video_as_prompt
Video as prompt
|
2025-11-04 17:32:50 +08:00 |
|
Artiprocher
|
b73e713028
|
support LongCat-Video
|
2025-10-30 13:38:14 +08:00 |
|
yjy415
|
e0eabaa426
|
Krea realtime video (#1011)
* krea-realtime-video
* Add Krea real-time video inference and training support
* Delete .gitignore
* update README
* update README
---------
Co-authored-by: Artiprocher <wangye87v5@hotmail.com>
Co-authored-by: Jintao Huang <huangjintao.hjt@alibaba-inc.com>
Co-authored-by: Zhongjie Duan <35051019+Artiprocher@users.noreply.github.com>
|
2025-10-27 19:09:28 +08:00 |
|
lzws
|
30292d9411
|
update wan2.2-S2V training
|
2025-10-21 19:59:44 +08:00 |
|
lzws
|
8ea45b0daa
|
update wans2v training
|
2025-10-21 10:34:48 +08:00 |
|
Zhongjie Duan
|
c5d426c254
|
Merge branch 'main' into wan-animate
|
2025-09-30 12:56:28 +08:00 |
|
Artiprocher
|
a36f2f6032
|
support wan2.2-animate-14b
|
2025-09-30 12:45:56 +08:00 |
|
lzws
|
ed256ef8be
|
fix wan vace bug (#960)
* fix wan vace bug
|
2025-09-26 13:49:27 +08:00 |
|
lzws
|
c0b589d934
|
add wan2.2-VACE-Fun infereance and trining
|
2025-09-22 01:57:05 +08:00 |
|
Zhongjie Duan
|
efdd6a59b6
|
Merge pull request #892 from modelscope/dev2-dzj
refine training framework
|
2025-09-04 15:53:52 +08:00 |
|
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 |
|
Zhongjie Duan
|
8c13362dcf
|
Merge pull request #884 from modelscope/dev2-dzj
Unified Dataset & Splited Training
|
2025-09-03 09:50:23 +08:00 |
|
Artiprocher
|
260e32217f
|
unified dataset
|
2025-09-02 13:14:08 +08:00 |
|
mi804
|
5cee326f92
|
support s2v framepack
|
2025-09-01 16:48:46 +08:00 |
|
mi804
|
a0bae07825
|
add wans2v example
|
2025-08-29 15:11:30 +08:00 |
|
ShunqiangBian
|
ff71720297
|
Create Wan2.2-S2V-14B.py
This commit introduces the core inference functionality for the Wan2.2-S2V-14B model.
|
2025-08-29 14:54:41 +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 |
|
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 |
|
lzws
|
cb49f0283f
|
Rename Wan2.2-Fun-A14B-Inp.py to Wan2.2-Fun-A14B-InP.py
|
2025-08-22 14:18:16 +08:00 |
|
lzw478614@alibaba-inc.com
|
46bd05b54d
|
add examples
|
2025-08-21 13:41:07 +08:00 |
|
mi804
|
fff2c89360
|
fix bug
|
2025-08-19 12:38:33 +08:00 |
|
mi804
|
6a9d875d65
|
fix training boundary for wan2.2 A14B
|
2025-08-15 17:54:52 +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
|
6bae70eee0
|
support num_workers,save_steps,find_unused_parameters
|
2025-08-06 10:52:59 +08:00 |
|
Artiprocher
|
79fa8607dc
|
update README
|
2025-07-29 17:05:41 +08:00 |
|
Artiprocher
|
158567ca20
|
bug fix
|
2025-07-29 10:16:40 +08:00 |
|
Artiprocher
|
9e683bfe25
|
fix typo
|
2025-07-28 18:30:04 +08:00 |
|
Zhongjie Duan
|
c35414a652
|
Merge pull request #705 from modelscope/wan2.2
fix wan2.2 vae
|
2025-07-28 17:04:40 +08:00 |
|
Artiprocher
|
68aafab09e
|
update readme
|
2025-07-28 17:02:30 +08:00 |
|
mi804
|
29663b25a6
|
fix wan2.2 vae
|
2025-07-28 16:49:28 +08:00 |
|
Zhongjie Duan
|
2af3a6f6a2
|
Merge pull request #704 from modelscope/wan2.2
Wan2.2
|
2025-07-28 15:06:01 +08:00 |
|
Artiprocher
|
5f68727ad3
|
refine code
|
2025-07-28 11:00:54 +08:00 |
|
mi804
|
9015d08927
|
support wan2.2 A14B I2V&T2V
|
2025-07-25 17:09:53 +08:00 |
|