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1
Start with the deliverable: cinematic clip, product motion, short social video, website banner visual, thumbnail concept, e-commerce asset, or comparison run against another video model
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2
Use text to video when the scene can be described from scratch, and use image to video when the output needs to preserve a source frame, product setup, character direction, or reusable visual identity
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3
Write the Luma-style motion brief with subject, environment, camera movement, duration, aspect ratio, lighting, preservation priorities, and failure conditions for drift, unwanted text, or off-brief edits
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4
Prepare a reviewed source frame with GPT Image 2, Seedream, or another image model when continuity matters before handing the brief to Luma Dream Machine, Luma Ray2, or an alternate image-to-video route
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5
Compare Luma Ray2 and Luma Ray flash 2 style workflows with Seedance 2.0, Wan 2.6 I2V, Kling AI, PixVerse, Hailuo AI, Sora AI Video Generator, Veo AI Video Generator, and Runway AI Video Generator when motion quality, continuity, speed, or prompt control needs a second route
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6
Review every output for identity risk, age ambiguity, protected-character similarity, private-photo reuse, unwanted brand marks, sensitive media, third-party logos, and whether a still frame can be reused safely
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7
Save the selected model label, source-frame notes, motion prompt version, rejected-output reason, X evidence, and publishing decision before exporting or reusing any generated clip