Hailuo AI credits run out quickly because the platform uses a variable credit system, where each video can consume anywhere from ~160 to 300+ credits depending on resolution, model, and complexity.
This means trial-and-error generations or high-quality settings can burn through your balance much faster than expected.
The most effective optimization is to test everything in low quality first (768p models) and only switch to HD once the result is correct.
This alone can reduce credit usage by 3–4x, since higher resolutions and newer models consume significantly more credits per generation.
You should also minimize failed generations, because Hailuo does not refund credits when outputs are incorrect or unusable.
Write clearer prompts, avoid complex scenes, and iterate gradually instead of making big jumps that lead to wasted attempts.
Another key trick is to choose the right model for the task, since newer models (like 2.3) can use 40–60% more credits than older ones.
Using simpler models for drafts and saving advanced ones for final renders helps stretch your budget significantly.