How to Make Long Micro Dramas with AI (Consistent Characters)

What this lesson covers

Youri van Hofwegen demonstrates how to create a multi-episode AI micro drama series with consistent characters and locations using OpenArt and a custom Microdrama Kit. He details the step-by-step process of screenplay planning, building reference character sheets, maintaining location continuity, and setting up shot prompts.

Key takeaways from the creator

AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.

1. 01:25 ↗

   Micro drama planning requires pre-determining character casts, story arcs, and paywall cliffhangers before generating video scenes.

2. 03:32 ↗

   Creating reusable reference sheets for characters ensures facial and outfit consistency across multiple episodes.

3. 04:30 ↗

   Rendering three-panel character sheets containing front, back, and face close-up views establishes fixed physical visual traits.

4. 05:36 ↗

   Designing wide, empty-room location sheets with simplified layouts maintains environment continuity across changing scenes.

5. 06:47 ↗

   Generating detailed prop sheets from multiple angles prevents visual shifting of key story items during close-up shots.

Workflow outlined in the video

1. Outline the series structure, cast limits, and paywall cliffhanger points in a pre-production script tool before generating visuals.
2. Generate three-panel reference character sheets showing front outfit, back view, and face close-ups for every main character.
3. Create supplementary character sheets for any required costume or outfit changes while maintaining identical facial traits.
4. Build wide empty-room location reference sheets with clear structural boundaries to keep set layouts consistent.
5. Produce multi-panel prop sheets for recurring story objects featured in close-ups.
6. Attach visual asset sheets to image and video generator prompts throughout episode production to maintain continuity.

Before you use this workflow

These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.

ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.

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How to interpret the numbers

19,187 views captured 5 November 2026. ReelStack recommendation score: 45/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.

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