Create Viral AI Animation Videos: Step-by-Step Guide

In this video, aiTrends demonstrates how to create viral and monetizable AI animation videos using various AI tools. The tutorial is designed for both beginners and experienced creators, providing a step-by-step guide to bringing creative visions to life effortlessly.

The video begins with a demo of a short AI-generated animation about the story of Moses, showcasing the potential of AI tools for storytelling. The presenter highlights a channel that uses AI to create Bible stories, achieving hundreds of thousands of views per video. The tutorial aims to help viewers create engaging stories using similar techniques.

The first step is to generate a script using ChatGPT. The presenter extracts the transcript of an existing video and asks ChatGPT to create a story of Moses based on it. The story is then broken down into different character lines, including prompts to generate close-up images for each scene.

Next, the video covers creating consistent characters using Dall-E and Microsoft Copilot. The presenter demonstrates how to generate detailed descriptions of characters, such as an ancient Pharaoh, and create prompts based on those descriptions. For free users, a trick is shared to get consistent characters from Dall-E by crafting detailed descriptions and using GPT-4 to generate prompts.

With the characters ready, the next step is to generate voiceovers using ElevenLabs. The presenter copies the character lines and selects voices from the library to generate the voiceovers. The process is repeated for all characters to ensure consistency.

The video then explains how to animate images using Luma Dream Machine and Immersity AI. Luma Dream Machine is highlighted for its ability to produce lifelike animations, while Immersity AI is recommended for creating 3D video effects. The presenter uploads images and adds prompts to generate animations, noting that traffic is lower around midnight Eastern time for quicker processing.

For creating lip sync, the video recommends SyncLabs and Pika. The presenter demonstrates how to upload audio and video files to SyncLabs to generate lip-synced videos. For free users, Pika is suggested as an alternative, with a workaround to blur the watermark in post-production.

The final step is to edit the video in CapCut. The presenter arranges video clips and audio in the timeline, adds transitions, sound effects, captions, and animations, and uses templates to save time. The video is then exported in 720p and upscaled to 4K resolution using TensorPic.

Throughout the tutorial, the presenter emphasizes the potential of AI tools in creating high-quality animation videos and encourages viewers to explore the tools and techniques demonstrated. The video concludes with an invitation to join the presenter’s Discord for access to prompts and more resources.

Overall, the video provides a comprehensive guide to creating viral and monetizable AI animation videos, showcasing the capabilities of various AI tools in transforming storytelling and animation.