Hailuo AI video generation prompt guide for creating professional cinematic content
Blog post from Atlas Cloud
The Hailuo Prompt Formula proposes a structured approach to AI video prompting intended to improve cinematic quality, character consistency, lighting, and motion stability by organizing prompts into camera, subject, lighting and environment, and motion components. It argues that concise, sequentially prioritized technical instructions are more effective than long descriptive prompts, with early details such as camera perspective and subject identifiers receiving greater emphasis. The guidance recommends using film-specific vocabulary, including lens types, focus methods, camera movements, color grades, and lighting styles, to create more realistic imagery and avoid generic or overly synthetic results. For multi-clip work, it advises repeating fixed character descriptors, clothing details, and environmental conditions in every prompt to reduce visual drift. It also recommends limiting clips to roughly three to five seconds, assigning one primary action to each generation, clearly defining speed and physical motion, and avoiding contradictory or vague instructions that can cause artifacts. A detective-in-a-neon-alley example illustrates how the proposed structure reportedly improved geometric stability and usable output rates, while the broader framework is presented as a repeatable workflow for creators and developers using Hailuo AI.
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