How To Make Cool AI Videos (Step-By-Step)

How To Make Cool AI Videos (Step-By-Step)

🎙 Matt Wolfe 👥 1.0M 📅 February 22, 2023 ⏱ 19 min 👁 360K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

DeforumStable DiffusionAI animationtutorialkeyframes

Summary

This video is a step-by-step tutorial on how to create AI-generated videos using the Deforum extension for Stable Diffusion. The author, Matt Wolfe, begins by explaining how to install Deforum locally or use it via the cloud service RunDiffusion. He then walks through the main interface, covering the Run tab (sampler, steps, dimensions, seed) and the Keyframes tab (max frames, motion settings like zoom, rotation, and translation). The tutorial explains how to structure prompts with starting frames to create a sequence of morphing images, and demonstrates how to adjust motion parameters to add camera movements. The author provides several examples, showing how to generate videos with different prompts and motion settings. He emphasizes that he is still learning and plans to make more advanced tutorials. The video concludes with a promotion of his website FutureTools.io and newsletter.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides practical, actionable information for beginners wanting to create AI videos. The author clearly explains each step, from installation to generating a final video, and supports his instructions with live demonstrations. The argumentation is based on personal experimentation rather than formal research, which is appropriate for a tutorial. The author is transparent about his limitations, stating that he is not an expert and that some settings are not fully understood. This honesty adds to the credibility of the tutorial, as it sets realistic expectations. The value lies in the clear, step-by-step approach that enables viewers to replicate the process and start creating their own AI videos.

Scientific Rigor, Source Quality, Title Accuracy

The tutorial is rigorous in its practical instructions, but it lacks formal scientific sources. The author references the Deforum GitHub repository and the RunDiffusion service, which are relevant and useful. However, there are no citations to academic papers or official documentation beyond the GitHub link. The title accurately reflects the content, as the video is indeed a step-by-step guide. The author’s admission of uncertainty about some settings demonstrates a level of intellectual honesty, but it also indicates that the information may not be fully verified. Overall, the tutorial is reliable for its intended purpose, but it should not be considered a scientifically rigorous source.

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Title / Content Match

The title accurately reflects the content: a step-by-step guide to creating AI videos using Deforum and Stable Diffusion.

Quality & Reliability

7/10

The tutorial is practical and based on the author's direct experimentation, but it lacks formal citations and acknowledges the author's own uncertainty about some settings. The instructions are clear and reproducible, but the scientific rigor is limited by the absence of peer-reviewed sources or systematic testing.

Key Moments

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Contribution & Novelties

The video provides a clear, beginner-friendly introduction to Deforum, a tool that allows users to create AI-generated animations with Stable Diffusion. It fills a gap by offering a step-by-step guide that is accessible to non-experts, covering installation, basic settings, and prompt structuring. The author’s approach of demonstrating motion parameters (zoom, rotation, translation) with short test videos is particularly useful for understanding their effects.

Pour aller plus loin :

112 words

Radar Profile

The radar profile shows high scores in quantity of information and technical level, reflecting the detailed tutorial content. The quality and reliability scores are slightly lower due to the lack of formal citations and the author's admitted uncertainty. Overall, the video is strong in practical guidance but moderate in scientific rigor.

Reliability 7/10

💬 Très positif. Sur les 30 commentaires analysés, la grande majorité exprime une gratitude enthousiaste et considère le tutoriel comme clair et accessible, avec quelques retours techniques utiles de la part d'utilisateurs.