add docsa.

Author: sayakpaul

docs/source/en/api/pipelines/wan.md

@@ -37,6 +37,12 @@ The following Wan models are supported in Diffusers:
 - [Wan 2.1 VACE 1.3B](https://huggingface.co/Wan-AI/Wan2.1-VACE-1.3B-diffusers)
 - [Wan 2.1 VACE 14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B-diffusers)
 
+Follow Wan 2.2 checkpoints are also supported:
+
+- [Wan 2.2 T2V 14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B-Diffusers)
+- [Wan 2.2 I2V 14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B-Diffusers)
+- [Wan 2.2 TI2V 5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers)
+
 > [!TIP]
 > Click on the Wan2.1 models in the right sidebar for more examples of video generation.
 
@@ -327,6 +333,10 @@ The general rule of thumb to keep in mind when preparing inputs for the VACE pip
 
 - Try lower `shift` values (`2.0` to `5.0`) for lower resolution videos and higher `shift` values (`7.0` to `12.0`) for higher resolution images.
 
+## Using LightX2V LoRAs
+
+Wan 2.1 and 2.2 support using [LightX2V LoRAs](https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v) to speed up inference. Using them on Wan 2.2 is slightly more involed. Refer to [this code snippet](https://github.com/huggingface/diffusers/pull/12040#issuecomment-3144185272) to learn more.
+
 ## WanPipeline
 
 [[autodoc]] WanPipeline