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Text-to-video became practical in 2025 and cinematic in 2026. Here's the state of the art and how to choose.
Video generation went from 'jittery 4-second clips' in early 2024 to 'broadcast-grade 4K with synchronized dialogue and music' in early 2026. Four models lead. They're genuinely useful for pre-visualization, ads, b-roll, and short films — though full Hollywood-grade filmmaking is still human + AI, not AI alone.
| Model | Best for | Max length / resolution | Audio? |
|---|---|---|---|
| OpenAI Sora 2 | Cinematic physics, multi-subject scenes. | ~20s, 1080p (upscalable). | Synced audio + dialogue. |
| Google Veo 3.1 | Photorealism, audio quality, character dialog. | ~60s, 1080p. | Best-in-class synced audio. |
| Runway Gen-4.5 | Character consistency across scenes; pro editing. | ~10s per shot; stitch in Runway. | Synced audio. |
| Kuaishou Kling 3.0 | Native 4K / 60fps, longest clips (5 min), human motion. | 5 min, 4K. | Synced audio. |
| Luma Dream Machine / Pika 2 | Fast iteration, social-media clips, affordable. | ~10s, 1080p. | Some models, newer. |
Video prompts have two extra slots beyond image prompts: motion and camera.
A chef in a crowded Tokyo ramen shop gently ladles broth into a bowl. Steam rises. Camera slowly dollies in on her hands, then tilts up to her focused face. Shot on 35mm, shallow depth of field, warm practical lighting from paper lanterns. 8 seconds.A video prompt that specifies subject, setting, action, camera move, style, lighting, and duration.Video deepfakes of real people are a serious concern. All major providers (OpenAI, Google, Runway, Kuaishou) refuse to generate named public figures without their explicit opt-in, and they watermark outputs (C2PA + SynthID for Google). If you're shipping a product, disclose AI origin and respect the TAKE IT DOWN Act (US) and EU AI Act labeling.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-creative-video-generation-builders
What is the core idea behind "Video AI — Sora, Veo, Runway, Kling"?
Which term best describes a foundational idea in "Video AI — Sora, Veo, Runway, Kling"?
A learner studying Video AI — Sora, Veo, Runway, Kling would need to understand which concept?
Which of these is directly relevant to Video AI — Sora, Veo, Runway, Kling?
Which of the following is a key point about Video AI — Sora, Veo, Runway, Kling?
What is one important takeaway from studying Video AI — Sora, Veo, Runway, Kling?
Which of these does NOT belong in a discussion of Video AI — Sora, Veo, Runway, Kling?
What is the key insight about "Market in flux" in the context of Video AI — Sora, Veo, Runway, Kling?
What is the key insight about "Pricing gut-check" in the context of Video AI — Sora, Veo, Runway, Kling?
What is the recommended tip about "Iterate, don't just accept" in the context of Video AI — Sora, Veo, Runway, Kling?
Which statement accurately describes an aspect of Video AI — Sora, Veo, Runway, Kling?
What does working with Video AI — Sora, Veo, Runway, Kling typically involve?
Which of the following is true about Video AI — Sora, Veo, Runway, Kling?
Which best describes the scope of "Video AI — Sora, Veo, Runway, Kling"?
Which section heading best belongs in a lesson about Video AI — Sora, Veo, Runway, Kling?