Multi-Modal Reference-to-Video: Keeping Characters Consistent with Seedance 3.0

📰 Dev.to AI

Learn to generate consistent long-form videos with Seedance 3.0 by using a reference-to-video workflow to maintain character identity, motion, and pacing

advanced Published 10 Sept 2026

Action Steps

Use Seedance 3.0 to create a reference frame for character identity and motion
Define persistent anchors for identity, motion, and pacing to maintain consistency
Implement a workflow that updates the reference frame for each frame in the video
Test and refine the workflow to ensure consistent character appearance and motion
Apply the reference-to-video workflow to generate long-form videos with consistent characters

Who Needs to Know This

Video generation teams and AI engineers can benefit from this workflow to improve the consistency of their long-form video generation

Key Insight

💡 Persistent anchors for identity, motion, and pacing are crucial for consistent long-form video generation

Full Article

Most AI video demos look great for four seconds. Ask for thirty and the character's jacket changes color, the product label turns into scrambled letters, and the camera forgets where it was pointing. That's not a prompting problem — it's a reference problem. Long-form generation only holds together when the model has persistent anchors for identity, motion, and pacing instead of re-inventing them every frame. This post walks through the workflow I use for reference-to-video wo

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