Video Generation
Direct AI video like a filmmaker — from single shots to multi-scene stories with dialog.
AI video generation went from melting faces to shots that pass for real footage in under three years. This path teaches you to direct models like Sora 2 and Veo 3.1: describing motion, speaking the camera language of real cinematographers, animating stills for full control, storyboarding multi-scene stories, generating synced dialog, and fixing the classic failures like morphing and extra limbs.
Lessons in this path
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Text-to-Video Basics
What AI video models actually deliver — clip lengths, motion description, and the honest list of what they can and can't do yet.
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Image-to-Video Animation
The pro move: nail a perfect still first, then animate it. Why starting from an image gives you control text-to-video can't match.
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Camera Movement Language
Dolly, pan, orbit, crane, handheld — learn the film-school vocabulary that video models actually understand, and what each move says emotionally.
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Sora 2 Deep-Dive
OpenAI's video model excels at physics, complex scenes and synced audio. Learn its strengths and the screenplay-style prompting it loves.
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Veo 3.1 Deep-Dive
Google's Veo 3.1 delivers photorealism, cinematic polish and native spoken dialog. Learn its structured prompt formula and when to pick it over Sora 2.
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Storyboarding Multi-Scene Stories
Turn 8-second clips into real stories: shot lists, cross-scene consistency tricks, and VAR2 workflows that chain it all together.
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Dialog & Lip-Sync
Make AI characters speak convincingly: writing lines that fit the clip, directing voice and tone, and the rules of believable lip-sync.
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Video Troubleshooting
Morphing objects, flicker, backwards motion and bonus limbs — what actually causes each classic AI video failure, and the fix for every one.