I wanted to start a broader mistakes and lessons thread around General AI Video Generation.
A useful angle is getting started, but it also connects with quality versus speed. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where General AI Video Generation is genuinely useful and where it still needs improvement.
A useful angle is getting started, but it also connects with quality versus speed. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where General AI Video Generation is genuinely useful and where it still needs improvement.
