
In 2025, the line between AI image generation and video synthesis has blurred. High-quality static images now serve as critical keyframes, style anchors, and reference assets for video generation pipelines. The key is seamless integration — ensuring that images generated for one scene work flawlessly as input for the next.
When selecting an AI image generator for video production, three criteria matter most: temporal consistency (can it produce visually identical subjects across variations?), control granularity (can you lock specific features like facial structure?), and API accessibility (can it plug into automated pipelines?).
Domer's AI image generator excels at producing high-fidelity keyframes that maintain consistency across sequences. Paired with the AI video generator, you get a seamless creation pipeline.
Character morphing — where a subject's appearance drifts between frames — is the biggest immersion breaker in AI video. The solution lies in multi-image reference techniques: feed the model multiple angles of the same subject, and it learns to lock facial features, clothing details, and lighting characteristics.
GPT Image 2 provides exceptional control over latent space, minimizing drift over extended sequences. For motion consistency, Seedance 2.0 delivers natural, coherent movement.
The ultimate goal is scalability. When your image generator, video model, and editing tools speak the same language, you can produce content at volumes that were previously impossible. Visit the Domer blog for integration guides and workflow templates.

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.