This would be why I release an I2V specific trained model, and will release a T2V version when it's done. There's a significant difference in quality between the 2 for their respective usages.

I included a comparison that shows how significant the movement difference is.

Also, you can use the I2V model with T2V, with less accuracy.

@switch_ai "Looks much better than yours even on i2v" is a strong statement with no evidence to support.

The 2 example videos are 0-seed examples, meaning there was no prompt-fishing to find them. Additionally, I even provided a side-by-side comparison of the 2 with the same seeds and it's clear the i2v model has better adherence.

@switch_ai The example is the original V1 model run on I2V vs the newly published I2V optimized model.

It's literally a comparison of the "V1 WAN14B" model versus the one that I just published.

@switch_ai And I'm telling you that I'm currently training a T2V model that will be published later. If you want to only download the T2V model, that's fine. However, the I2V-trained model works 10x better than the T2V model, which is why I trained it.

@switch_ai Liking your own messages doesn't make your point look any better. You clearly do not understand the dimensional difference between I2V LoRAs and T2V LoRAs. It's quite ridiculous.