Make A Viral MOVIE Trailer with AI

Make A Viral MOVIE Trailer with AI

by Matt Wolfe

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Matt Wolfe 👥 1.0M 📅 November 28, 2023 ⏱ 25 min 👁 315K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

AI trailertext-to-videogenerative AIworkflowRunway Gen-2

Summary

Matt Wolfe demonstrates how to create a movie trailer using a combination of AI tools. He starts by using ChatGPT to generate a 15-scene script with visual prompts and narration. Then he uses Midjourney and DALL-E 3 to generate still images for each scene, noting that DALL-E 3 was more prompt-adherent. Next, he animates the images using Runway’s Gen-2 and Motion Brush features. For the voiceover, he uses ElevenLabs, comparing text-to-speech and speech-to-speech options. He then edits the video in DaVinci Resolve, adding background music generated by Mubert and sound effects from Bark. The final trailer is presented, and Matt discusses the potential for fully automated video generation in the near future. The video is sponsored by Wirestock, a platform for selling AI-generated art.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a clear, step-by-step tutorial that is easy to follow. The creator demonstrates each tool in real-time, showing both successes and failures, which adds authenticity. The argumentation is practical and based on personal experience, though it lacks scientific rigor. The value lies in the actionable workflow and the comparison of different tools.

Scientific Rigor, Source Quality, Title Accuracy

The video cites several AI tools and platforms, all of which are linked in the description. The sources are relevant and directly used in the tutorial. The title accurately reflects the content. The creator does not provide external scientific references, but the tutorial is transparent about its methods. The comments are overwhelmingly positive, with viewers expressing excitement about the possibilities of AI-generated content.

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Title / Content Match

The title accurately reflects the content: a step-by-step guide to creating a movie trailer using AI tools.

Quality & Reliability

7/10

The video is a practical tutorial demonstrating a workflow using several AI tools. The creator is transparent about the process, shows real outputs, and acknowledges limitations. However, it is not a scientific study and relies on anecdotal evidence and personal experience.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

  • ChatGPT — Used to generate the script and visual prompts.
  • Midjourney — Used to generate still images.
  • Runway — Used to animate images with Gen-2 and Motion Brush.
  • ElevenLabs — Used to generate voiceover.
  • Mubert — Used to generate background music.
  • Wirestock — Sponsor of the video; platform for selling AI art.
  • FutureTools — Creator's website for AI tools.

Concurring Sources

  • ChatGPT — Used for script generation.
  • Midjourney — Used for image generation.
  • Runway — Used for video animation.

External References

Contribution & Novelties

The video provides a practical, end-to-end workflow for creating an AI-generated movie trailer, combining multiple tools. It offers a realistic assessment of the current capabilities and limitations of these tools. The creator also highlights the potential for future automation of the entire process.

Pour aller plus loin :

  • Runway Gen-2 — The AI video generation tool used in the tutorial.
  • DALL-E 3 — OpenAI’s image generation model, used as an alternative to Midjourney.
  • ElevenLabs — AI voice generation platform.
  • Mubert — AI music generation service.
  • Bark — Open-source audio generation model by Suno.

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Radar Profile

The radar profile shows high scores in information quantity and quality, reflecting the detailed tutorial and practical demonstrations. The technical level is moderate, suitable for a general audience. The overall reliability is good, given the transparent approach and use of real tools.

Reliability 7/10

💬 Très positif. Sur les 30 commentaires analysés, la grande majorité exprime enthousiasme et admiration pour la démonstration, avec des remarques sur le potentiel futur de la génération vidéo par IA.