How Structured Prompts Make AI Video Generation More Precise and Reliable
A practical workflow for multimodal AI video generation recommends treating prompts as compact production briefs rather than loose mood boards, specifying what should remain stable versus what should change. The approach was developed and tested using MiniMax H3 AI Video Studio, which supports text, image, video, and audio references within a single workflow. Key principles include reducing each shot to a single intent sentence, clearly defining visual invariants such as face, wardrobe, or product geometry, and assigning references a specific role rather than using them as vague inspiration. Camera movement should be limited to one primary path per clip, described with precise language like 'slow push from medium to close-up' rather than generic terms like 'cinematic.' Audio prompts are similarly broken into foreground effects, environmental sound, and optional music layers, with each element tied to visible on-screen events for better model accuracy.
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