[Morromist]

It is a LOT better than 2 years ago, but there are flaws and its unpleasant to watch. The most easy to spot is their shoes (which they weren't wearing 1 second ago) flying off their feet without being kicked off in the first 10 seconds.

But if progress keeps going I'm sure it will get to the point where my brain doesn't feel sick after watching it. I hope so, because I'm sure there's a lot of AI videos in my future, whether I want them or not.

[Animats]

Yes, such systems are still struggling with continuity.

(There might be a workflow solution to that. Part of the system needs to do the job of what old films list as the "continuity girl". For each shot, there's a blocking diagram of who stands where at the beginning of the shot. There's a description of what each character is wearing, holding, or touching. If something generated that for the end of each shot, and it was fed into the prompt for the beginning of the next shot, that would help maintain continuity. This is another example of where a concrete mid-level abstraction is needed to keep things on track.)

Anyone have any idea what tool generated this? It's way past Stable Diffusion.

[vunderba]

Local text-to-vid such as LTX Video 2.3 or even older WAN could easily handle this then combine with something like SeedVR2 to upscale.

https://github.com/Lightricks/ComfyUI-LTXVideo

[slim]

the most easy to spot is the camp fire reflection on the car :D