ATTENTION! This is my third Wan 2.2 LoRA and is mainly for experiment and sharing ideas about training a Wan2.2 LoRA.

ComicBook-Wan2.2-T2V-A14B. You can use MediaInfo to check the generation info in the video. The workflow I used is the official one but adding sage attention and LoRAs after loading the ckpt.

If you love my work, you can buy me a coffee : https://ko-fi.com/ghostshell

UPDATE VERSION-2.0

The effect I tested is crazy. Sample videos are generated in [720,960].

wan22-style7-comic-sel-high-2-000040.safetensors is for high noise

wan22-style7-comic-sel-low-4.safetensors is for low noise

The Image below contains the Workflow.

VERSION-1.0

ComicBook-Wan2.1-T2V-14B. You can use MediaInfo to check the generation info in the video. The workflow I used ComfyUI-WanVideoWrapper.

LoRA strength suggestion(to balance the movement and the style) : 0.85. It is trained by images, most of the time the style works ,but sometimes it doesn't.

I uploaded an article of my experience of training Wan2.1 LoRA (Both I2V & T2V): My Personally Training Experience of WAN:Starting with Data.