wan 2.2 padl00p

v2. training. but it doesn't work

I don't know why.

1. To increase the diversity of target frames, I increased the number of frame types in the dataset.

Previously, it was fixed at 81 frames, but this time it was trained at 33, 49, 65, 81, 97, 113, and 129 frames.

1. Lora rank has been lowered to 32.

Previously, it would have been 64.

1. The front and back padding areas have been increased from 4 frames to 8 frames each.

4 frames are not enough in some case.

(This occurred when using a lot of different loras.)

As we all know, using the End Frame feature in wan 2.2 causes degradation near the last frame.

I couldn't stand this.

So I tried to making Lora.

This is my first attempt, but I think it worked better than I expected, so I'm uploading it to share.

This is what Lora does.

Creates same extra frames at the beginning and end of the video.

It was trained with a dataset of 4 starting frames + loop video for 5-77 frames + 8 subsequent frames.

For the FLF2V.

The intention is to be able to complete the loop video even by cutting out the frames that VAE distorts.

After creating a video, additional work is required to select and cut out duplicate frames.

I hope it works as intended.