Zengtudor/Wan2.1
1
0
Fork 0
mirror of https://github.com/Wan-Video/Wan2.1.git synced 2025-12-19 13:42:05 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Compare commits

base: Zengtudor:be6f665e7e00988f22b230101bba4e24821c3685
Branches Tags
Zengtudor:main
Zengtudor:dev/format
...
compare: Zengtudor:a84a09b797f0bdc7a66d6a5054e4241c26e8624b
Branches Tags
Zengtudor:main
Zengtudor:dev/format

3 Commits
be6f665e7e ... a84a09b797

Author SHA1 Message Date
DefTruth
a84a09b797
Merge ae832d4ff7 into e4f90fa81f 2025-12-10 22:06:35 +07:00
DefTruth
ae832d4ff7 docs: add cache-dit to community works 2025-10-17 02:12:59 +00:00
yanjun.qiu
f500fcd8d2 docs: add cache-dit to community works 2025-10-17 02:08:27 +00:00
1 changed files with 1 additions and 1 deletions
Show Stats Expand all files Collapse all files

2
README.md
View File

@ -47,7 +47,7 @@ If your work has improved **Wan2.1** and you would like more people to see it, p
- [CFG-Zero](https://github.com/WeichenFan/CFG-Zero-star) enhances **Wan2.1** (covering both T2V and I2V models) from the perspective of CFG.
- [TeaCache](https://github.com/ali-vilab/TeaCache) now supports **Wan2.1** acceleration, capable of increasing speed by approximately 2x. Feel free to give it a try!
- [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) provides more support for **Wan2.1**, including video-to-video, FP8 quantization, VRAM optimization, LoRA training, and more. Please refer to [their examples](https://github.com/modelscope/DiffSynth-Studio/tree/main/examples/wanvideo).
- [CacheDiT](https://github.com/vipshop/cache-dit) offers Fully Cache Acceleration support for Wan2.1 with DBCache, TaylorSeer and Cache CFG. Visit their [example](https://github.com/vipshop/cache-dit/blob/main/examples/pipeline/run_wan.py) for more details.
## 📑 Todo List
- Wan2.1 Text-to-Video