AI 视频能做什么?七大产出类型与完整流水线

短剧、宣传片、古诗动画、电商带货、数字人播报、模板特效、教学视频——七大类逐一拆解,每类对应的制作流水线一应俱全。

AI video is far more than "making images move" — from short dramas to digital humans, seven output types, each with different tool combinations and pipelines.

learnOutputs.definition

Author's note: Tool matching and pipeline breakdowns come from the Agnes Video Generator project author's hands-on practice. Model capability judgments are based on official papers and actual testing.

1. Seven Output Types at a Glance

Output TypeRecommended ToolsPipelineKey Points
Short dramasIndustrial online (Kling/Seedance/Sora), open-source + ComfyUIText-to-video → Segments → Editing → Narration → FinalCross-shot consistency needed
Template shortsSeedance/Kling templates, ReCamMaster, CosmicManTemplate → Upload photo/video → Auto-generate → ShareTemplate engine core
Corporate promos / AdsIndustrial (Kling/Sora), Agnes for single shotsStoryboard → Per-shot generation → Narration → Edit → BrandQuality over speed
Poetry / Artistic animationAgnes excels at nature slow-mo; open-source for artisticPoetry mood → Per-line generation → AE/CapCut text+music → FinalIndependent shots, no consistency needed
E-commerce videosIndustrial + Agnes; Wan2.1 with product imagesProduct photo → Image-to-video → Subtitles → BGM → Output5–15s per clip
Digital human broadcastHeyGen/Synthesia/D-ID; MoneyPrinterTurboScript → Avatar/voice → Generate → Overlay B-roll → ExportAgnes doesn't support digital humans
Educational animationsSeedance/Kling + open-source + storyboardsLesson script → Per-point animation → Narration → Subtitles → OutputMixed long/short shots

2. Universal Pipeline: 11 Stages

All AI video goes through an 11-stage universal pipeline. Differences lie in which stages are emphasized.

① Requirements →
② Script/Storyboard →
③ Style/Character →
④ Assets →
⑤ Per-shot Generation →
⑥ Enhancement →
⑦ Narration (TTS) →
⑧ BGM/SFX →
⑨ Editing →
⑩ Subtitles/FX →
⑪ Export

3. Type × Tool × Pipeline Matching

Short Dramas

Needs cross-shot consistency and longer timelines. Use industrial platforms for segment generation + continuation, open-source models with ComfyUI. Agnes suits individual atmosphere shots.

Template Shorts

Depends on template engines. Seedance/Kling have built-in templates; ReCamMaster/CosmicMan for skeleton-driven animation. Agnes is not suited for this type.

Corporate Promos / Ads

Quality over speed. Industrial platforms for main shots, Agnes for single-shot materials. Pipeline: storyboard → generation → narration → editing → brand overlay.

Poetry / Artistic Animation

Each shot independent, no cross-shot consistency needed — Agnes Video Generator's strength. Nature slow-motion and artistic visuals are its best scenarios.

E-Commerce Videos

5–15 seconds per clip. Agnes image-to-video animates product photos. Zero-cost entry point.

Digital Human Broadcast

Needs specialized platforms (HeyGen/Synthesia/D-ID). Agnes doesn't support digital humans but can generate background B-roll.

Educational Animations

Mix of long and short shots. Generate animations per knowledge point, add narration and subtitles.

4. Agnes Video Generator's Best Output Types

learnOutputs.s4Desc

5. FAQ

Q:What can AI video do?

Seven categories: short dramas, templates, promos, poetry animation, e-commerce, digital humans, education.

Q:What output types exist?

Short dramas, template shorts, promos, poetry animation, e-commerce, digital humans, education. Each has different tool requirements.

Q:Steps to make AI video?

11-stage pipeline: requirements → script → style → assets → generation → enhancement → narration → BGM → editing → subtitles → export.

Q:Can I make AI video without CapCut?

CapCut is downstream editing; AI tools are upstream production. They work best combined, but short videos can be produced directly.

Q:Is AI video good for beginners?

Absolutely. Free tools like Agnes Video Generator offer zero barrier — three steps to your first video.

Q:What can Agnes Video Generator make?

Best at promo shots, poetry animation, e-commerce, single drama shots — under 10 seconds, no consistency needed.

Where to go next?

References

This page draws on the following authoritative sources, each with a specific relevance note.

  1. VideoPoet: A Large Language Model for Zero-Shot Video GenerationGoogle Research · arXiv:2312.14125 (2023)

    VideoPoet's zero-shot video generation methodology directly maps to the output types and pipeline design approaches described on this page.

  2. CogVideoX: Text-to-Video Diffusion Models via 3D Causal VAETsinghua University & Zhipu AI · arXiv:2408.06072 (2024)

    CogVideoX's architecture determines its applicability and limitations across output types (short dramas, promos, animations).

  3. Artificial Intelligence Index Report 2025Stanford HAI · Stanford AI Index 2025 (2025)

    Stanford AI Index 2025 provides the maturity curve from lab to industry for video generation, helping assess the technical feasibility of each output type.

Waarom u dit kunt vertrouwen

Geschreven door een praktiserend ontwikkelaar en geverifieerd aan de hand van gezaghebbende primaire bronnen zoals arXiv-artikelen, technische rapporten en de Stanford AI Index.

S

SandGrid@lcy362

Auteur van Agnes Video Generator · Full-Stack ontwikkelaar

Onafhankelijke ontwikkelaar en auteur van Agnes Video Generator, een open-source (MIT) AI-videogeneratietool gebouwd op de gratis videomodellen van Agnes AI. Heeft meer dan 1.000 creators geholpen om kosteloos AI-video's te maken.

Bekijk op GitHub

Referenties & bronnen

De volgende primaire onderzoeken en openbare rapporten zijn geraadpleegd om nauwkeurigheid en actualiteit te waarborgen.

  1. Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large DatasetsStability AI · arXiv:2311.15127 (2023)
  2. CogVideoX: Text-to-Video Diffusion Models via 3D Causal VAETsinghua University & Zhipu AI · arXiv:2408.06072 (2024)
  3. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsTencent · arXiv:2412.03603 (2024)
  4. Wan: Open and Advanced Large Video ModelsAlibaba · arXiv:2503.20314 (2025)
  5. VideoPoet: A Large Language Model for Zero-Shot Video GenerationGoogle Research · arXiv:2312.14125 (2023)
  6. LTX-Video: Realtime Video Latent DiffusionLightricks · arXiv:2501.00103 (2025)
  7. SkyReels-V2: Infinite-length Film Generative ModelKunlun SkyReels Team · arXiv:2504.13074 (2025)
  8. Artificial Intelligence Index Report 2025Stanford HAI · Stanford AI Index 2025 (2025)
  9. The Economic Potential of Generative AI: The Next Powerhouse of Productivity and Growth?McKinsey & Company · McKinsey Global Institute (2023)
  10. Generative AI in Media and Entertainment: A $150 Billion OpportunityBCG (Boston Consulting Group) · BCG Henderson Institute (2024)
  11. Digital News Report 2025: AI-Generated Content and Trust in NewsReuters Institute, University of Oxford · Reuters Institute Digital News Report (2025)
  12. Sora: Video Generation Model Technical ReportOpenAI · OpenAI Technical Report (2024)
  13. Global AI Video Generation Market Size & Share Analysis (2024-2030)Grand View Research · Grand View Research Market Report (2024)

Laatst bijgewerkt2026-07-30

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