Simple Temporal Upscaling
This is a proof of concept workflow around simple temporal upscaling. Every video model has some blurring when it comes to high motion scenes - both closed and open source. Depending on the model this can be at higher or lower motion with newer models being better than older as a general rule. Some styles tend to make their blurring effects at lower speed - especially anything with lineart, which could be due to training being more on realism or the way latents are compressed temporally. One way people try to solve this is by upscaling and rediffusing over the video which definitely helps but in my experience at least there is a definite limit to how much it can help. This is where temporal upscaling comes in. The idea around this is not a new concept per se for example MAINodes https://github.com/matlowai/ComfyUI-MAINodes attempts to sort out which frames need to be temporally upscaled and rediffuse over them. I took this to a logical conclusion and considered what if you just 'deroped' aka temporally upscaled the whole scene rather than trying to be picky. I do think it has several advantages: 1/Your final result tends to have more motion consistency in the small details than wit
Action、deblur、derope