Video Production with Generative AI

(Based on the Article: Video Production with Generative AI)

Generative AI is the subject of much hyperbole. People think it’s either the pinnacle of technology or the end of humanity. The truth is somewhere in between, especially when discussing video generation models (VGMs). VGMs can be helpful during every phase of the production process, but they have limitations. A human behind the screens must have a vision to ensure proper execution.

              When given a prompt, VGMs can create about two minutes of video. Depending on the prompt, these short videos look good. However, the longer the video and the more complex the prompt, the more likely there will be inconsistencies and issues. For example, videos of a car driving down the street usually turn out better than a prompt about two aliens fighting one another.

              Because of this, VGMs are better suited for assistance in post-production with an expert in cinematography. Creating a reliable, consistent tone to content is imperative; having the right person steering the VGMs can make that happen. Most filmmakers also prefer to handle sound and image separately, even though many VGMs can simultaneously produce both.

              Overall, VGMs and Gen AI can be helpful tools, but they must be used by industry experts who share the same creative vision as everyone else on the project. Otherwise, VGMs can be more of a hindrance than an asset. These tools are controversial, to say the least. However, if the industry intends to use them, they can’t solely rely on them, as this tech is still too new, buggy, and inefficient to create an entire film on its own anytime soon.