Create Consistent Characters Using AI | Step-by-Step Tutorial
Maintaining character consistency across multiple shots remains a primary hurdle in AI filmmaking, making multi-tool hybrid pipelines essential for professional output.
What this lesson covers
This video details a step-by-step workflow for achieving consistent characters in AI-generated media using Midjourney and Ideogram. It demonstrates how to combine image generation with localized magic fill face-swapping to maintain character identity across shots.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:36 ↗
Midjourney is recommended for generating initial cinematic base images using style references and parameter controls.
- 02:56 ↗
Using parameter codes like d-r allows users to generate multiple iterations of a prompt quickly within Midjourney.
- 05:43 ↗
Ideogram's canvas feature and Magic Fill tool allow creators to isolate and swap specific areas of an image, such as a character's head, without altering the clothing or background.
- 06:21 ↗
By precisely selecting only the character's head for Magic Fill, the surrounding sci-fi costume and environment remain intact.
Workflow outlined in the video
- Generate base images in Midjourney using style references and character image inputs to establish a consistent visual look.
- Export your generated images and import them into Ideogram's canvas workspace.
- Select the Magic Fill tool and carefully highlight only the character's head region to avoid changing the clothing or background.
- Upload a clear reference face image of your subject and provide a simple prompt describing the character's action.
- Run the fill generation and review multiple output variations to select the most photorealistic and accurate result.
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.
Explore the tools
How to interpret the numbers
44,263 views captured 23 October 2026. ReelStack recommendation score: 48/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 2.03× current views vs the channel's recent median; same-age history is not yet available. View-evidence factor 98% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 59/100; likes + 4× comments, smoothed with a 500-view neutral prior