ComicBook-Wan2.2/2.1-T2V-A14B - Wan2.2
Recommended Parameters
resolution
Tips
LoRA strength suggestion (to balance the movement and the style): 0.85.
You can use MediaInfo to check the generation info in the video.
The model is trained mostly by images, so style usually works but sometimes may fail.
Version Highlights
Wan2.2 Version,unzip the file and put high lora for high noise, low lora for low noise
Creator Sponsors
If you love my work, you can buy me a coffee : https://ko-fi.com/ghostshell
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.
Contributor
Model Details
Model type
Base model
Model version
Model hash
Trained words
Creator
Discussion
Please log in to leave a comment.
