Descriptions:
Dan Kieft walks through his full production pipeline for creating long-form AI animation videos with consistent characters, sharing techniques he describes as widely undisclosed by other creators in the space. The tutorial uses Kling 3.0 for video generation and an image generator called Nano Banana for character creation and storyboarding, and is structured around four stages: image generation and storyboarding, image-to-video conversion, audio sync, and editing.
The character consistency problem — one of the most common failure points in AI video production — is addressed through character sheets: reference grids showing each character from multiple angles and facial close-ups, generated by uploading a base character image alongside a detailed prompt. These sheets serve as consistency anchors throughout the project. Kieft demonstrates using Figma to lay out a storyboard before committing to video generation, which he emphasizes is important because image iteration is inexpensive while video credits are not.
For video generation, the tutorial highlights three practical techniques: start-and-end frame generation in Kling 3.0 for tight control over motion (uploading both the opening and closing keyframe), the multishot feature for generating multiple camera angles from a single image without manual reprompting, and detailed action-description prompting for guided motion. Kieft shares completed clips from his own finished animation project as examples and directs viewers to a free community where his prompt templates are available.
📺 Source: Dan Kieft · Published March 31, 2026
🏷️ Format: Tutorial Demo
