Agnes Video

How to Make AI Story Videos

Create compelling multi-scene story videos with AI narration and subtitles — a complete guide to AI-powered visual storytelling.

Story videos are the most powerful use case for AI video generation. Unlike simple single-clip videos, story videos combine multiple scenes with narration, subtitles, and transitions to create complete narratives. This guide shows you how to harness AI storytelling to produce professional-quality videos in minutes.

1

Plan Your Story Concept

Before opening the tool, have a clear idea of your story. Think about the main characters, setting, plot progression, and emotional arc. Even a simple three-act structure (beginning, middle, end) works great for AI-generated story videos.

2

Select Creative Video Mode

In Agnes Video Generator, choose 'Creative Video' mode. This mode activates the full AI pipeline: story generation → script writing → character reference → multi-scene video → narration → subtitles → final concatenation.

3

Write Your Story Prompt

Describe your story concept in detail. Include the genre, main characters, setting, and key plot points. The AI will expand your concept into a full script with multiple scenes. Example: 'A sci-fi story about a robot discovering emotions in a post-apocalyptic city.'

4

Configure Character References

Upload character reference images to maintain visual consistency across scenes. This ensures your characters look the same throughout the video. You can use AI-generated character images or your own reference art.

5

Generate Multi-Scene Video

The AI generates each scene individually, applying your character references and maintaining narrative continuity. Each scene gets its own video clip with consistent visual style. Progress is tracked per-scene with checkpoint resume support.

6

Review and Adjust Narration

The AI automatically generates narration text for each scene. Review the script and adjust if needed. Choose from multiple TTS voice roles and configure the narration speed and tone to match your story's mood.

7

Customize Subtitles

Subtitles are generated with word-level timing precision. Customize the font, size, color, position, and background. Multi-line wrapping ensures readability even with long narration sentences.

8

Export Final Story Video

The AI concatenates all scenes with narration and subtitles into a single cohesive video. Download the final output — a professional-quality story video ready for YouTube, social media, or personal projects.

Storytelling Tips

  • •Provide detailed character descriptions to improve AI consistency across scenes.
  • •Use the keyframes chaining mode for smoother transitions between scenes.
  • •Keep individual scene descriptions focused — one main action or moment per scene works best.
  • •Test with a 3-scene story first to dial in your settings before creating longer narratives.

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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 narrative video generation capability provides technical proof-of-concept for story video production.

  2. Generative AI in Media and Entertainment: A $150 Billion OpportunityBCG (Boston Consulting Group) · BCG Henderson Institute (2024)

    BCG forecasts narrative video (short dramas, story animations) as a primary output form of generative AI in entertainment.

  3. Sora: Video Generation Model Technical ReportOpenAI · OpenAI Technical Report (2024)

    OpenAI Sora's technical report discussion on long-sequence consistency directly relates to the core challenge of multi-shot story video assembly.

Why you can trust this

Written by a practicing developer and cross-checked against authoritative primary sources such as arXiv papers, vendor technical reports, and the Stanford AI Index.

S

SandGrid@lcy362

Author of Agnes Video Generator · Full-stack Developer

Independent developer and author of Agnes Video Generator, an open-source (MIT) AI video generation tool built on Agnes AI's free video models. Has helped 1,000+ creators produce AI videos at zero cost. Focused on making video generation models accessible and production-ready; content is based on hands-on practice and primary research.

View on GitHub

References & Authoritative Sources

The following primary research and public reports were referenced while writing this content, to ensure accuracy and timeliness.

  1. Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets — Stability AI · arXiv:2311.15127 (2023)
  2. CogVideoX: Text-to-Video Diffusion Models via 3D Causal VAE — Tsinghua University & Zhipu AI · arXiv:2408.06072 (2024)
  3. HunyuanVideo: A Systematic Framework For Large Video Generative Models — Tencent · arXiv:2412.03603 (2024)
  4. Wan: Open and Advanced Large Video Models — Alibaba · arXiv:2503.20314 (2025)
  5. VideoPoet: A Large Language Model for Zero-Shot Video Generation — Google Research · arXiv:2312.14125 (2023)
  6. LTX-Video: Realtime Video Latent Diffusion — Lightricks · arXiv:2501.00103 (2025)
  7. SkyReels-V2: Infinite-length Film Generative Model — Kunlun SkyReels Team · arXiv:2504.13074 (2025)
  8. Artificial Intelligence Index Report 2025 — Stanford 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 Opportunity — BCG (Boston Consulting Group) · BCG Henderson Institute (2024)
  11. Digital News Report 2025: AI-Generated Content and Trust in News — Reuters Institute, University of Oxford · Reuters Institute Digital News Report (2025)
  12. Sora: Video Generation Model Technical Report — OpenAI · OpenAI Technical Report (2024)
  13. Global AI Video Generation Market Size & Share Analysis (2024-2030) — Grand View Research · Grand View Research Market Report (2024)

Last updated：2026-07-30

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