
You've seen it: an AI-generated character that changes appearance from one scene to the next. Different hair, different face shape, different clothing. The illusion shatters, and your audience checks out.
Character consistency is the single biggest technical challenge in AI video production — and solving it is what separates professional content from experimental messing around.
AI video models are fundamentally "stateless." Each generation starts fresh with no memory of previous outputs. Even with identical text prompts, subtle differences in how the model interprets your description lead to visual drift.
The solution: give the model concrete visual anchors, not just text descriptions.
Multi-image fusion means providing reference images alongside your text prompt. The model uses these as visual guardrails, keeping the character locked to a specific appearance.
Use Domer AI Image Generator to create a "character sheet" — multiple angles of the same character:
Make sure all images share the same style, lighting, and quality level.
When generating a new video scene, always upload at least one reference image as the starting keyframe. Domer Image-to-Video lets you set these as anchor points, so the AI fills motion between them while preserving the character.
Create a reusable prompt snippet that describes the character consistently:
[CHARACTER: silver hair, blue eyes, angular jaw, tall build,
wearing black leather jacket over white t-shirt,
cinematic lighting, 35mm lens]
Paste this prefix into every prompt. Combine it with scene-specific descriptions.
Upload both a start frame AND an end frame. The character starts in pose A, the AI animates them into pose B. Both frames show the same character from your master set, ensuring perfect consistency.
Some models expose a seed parameter. If you find a generation that nails the character, save the seed. Reuse it for future generations of the same character.
For enterprise-grade consistency:
When you nail character consistency, your AI video stops looking like "AI video." It looks like content with a production budget. Your audience focuses on the story, not the artifacts.
Start with Domer's AI Video Generator — it gives you the reference image and keyframe controls you need to solve the consistency problem from day one.

Alexander
Vidu Q4 alternatives compared: Kling 4.0, Seedance 2.5, Wan 3.0, and Runway Gen-4 — 4K support, input modes, durations, audio, and what each costs in credits on Domer.
The top 4K AI image generators on Domer compared: Flux 3 Klein, Nano Banana 2.1, GPT Image 2.5, GPT Image 2, and Nano Banana Pro — 4K credit costs, reference limits, and speed.
Nano Banana 2.1 vs GPT Image 2.5 Flare compared: credit costs per resolution, aspect ratios, reference images, text rendering, and which tasks fit each model.