>>16530
> One example of a controlnet usage is an I2I workflow. I used to think that the vision model in such workflow is just generating tags (maybe a lot of tags) from the source image, but after some reading I realized that it must be providing a controlnet for the diffusion model and that makes the resulting image close to the original, even though in a different style.

I've made some limited progress with I2V that takes both a first image and a last image, along with I2I to turn the first image into what I want the last image to be, but typically the I2I isn't any better at understanding prompts for where I want things to go that Wan 2.2 I2V.

I've also tried to simply create and end frame images via Photoshop, but that's not a great way (at least without more artistry than I have) to bend and move limbs into new poses in a realistic way, especially when Photoshop's AI is very puritanical refuses to work on anything sexual or violent.