Character consistency is the hardest problem in AI video generation. Without careful technique, the same character description produces noticeably different-looking people in each clip.
This guide covers the practical techniques that work: reference images, prompt patterns, and workflow strategies that keep your characters recognisable across multiple generations.
Quick answer
Use a single reference image for each character across all clips. Describe character features with the same specific terms every time. Keep motion simple so the character's features stay visible. Generate multiple variations and select the most consistent ones.
- You are creating a multi-clip project with recurring characters.
- Character recognition across clips matters for your content.
- You want to tell a story or create a narrative with AI video.
The reference image approach
The most reliable consistency method is using a reference image in image-to-video mode. Start every clip of the same character from the same reference image (or same-style reference images).
This anchors the character's appearance to a fixed visual instead of relying on text description alone, which is inherently variable.
Prompt consistency
Use identical character description text across all clips. Create a character prompt template and reuse it exactly — do not paraphrase or reorder.
Specific, consistent descriptions produce more consistent results than vague ones.
- Use exact same wording: 'woman with shoulder-length dark brown hair, green eyes, wearing a navy blue blazer'
- Keep descriptions in the same order across all prompts
- Include distinctive features that help the model maintain identity
- Avoid synonyms — 'dark brown hair' in one prompt and 'brunette' in another produces variation
Motion that preserves features
Simple, face-visible motion produces more consistent results than complex action. If the character's face is visible throughout the clip, the model works harder to maintain their appearance.
Avoid: quick head turns, profile shots, back-facing shots, or any motion that hides the character's distinctive features for most of the clip.
Selection and curation
Generate 5-8 variations of each clip and select the most consistent ones. Even with the best techniques, some generations drift more than others.
Build a consistency reference library: save the best frames from each accepted clip and use them as visual references when generating new clips.
Workflow for multi-clip projects
Plan your shots in advance and group them by character and angle. Generate all clips for one character before moving to the next.
Use a consistent settings profile: same motion intensity, same style keywords, same quality modifiers. Changing any of these can subtly affect character appearance.
Worked example: 6-clip character narrative
You create a reference image of a character — a man with grey hair, glasses, and a brown jacket. Using this image as the source for 6 clips (arriving at a door, entering a room, sitting down, reading, looking up, standing), you produce a coherent sequence. Each clip uses the same character prompt template and the same style/lighting keywords. The character is recognisably the same person across all 6 clips.
Common mistakes
- Relying on text description alone without reference images.
- Using different wording for the same character across clips.
- Complex motion that hides the character's face, breaking consistency.
Step by step: keep a character consistent across clips
- Build one reference sheet first. Use Midjourney or Dreamina to create a front, 3/4, and side view of the character on a neutral background.
- Upload the cleanest view as the reference image. 3/4 angle usually works best — it carries face and body proportions.
- Write a short character description. "Woman, late 20s, shoulder-length black hair, grey linen jacket." Reuse this exact string across every clip prompt.
- Generate each shot in the same session. Seedance holds some context across one session. Opening a new tab resets it.
- Check the first frame. If the character looks right at frame 1, the rest of the clip usually holds. If frame 1 is already wrong, regenerate — do not wait.
- Lock lighting across clips. "Soft overcast daylight" used in every prompt gives more visual continuity than changing light per shot.
Troubleshooting table
| Symptom | Likely cause | Fix |
|---|---|---|
| Face changes between clips | Reference image not uploaded on the second clip | Re-upload the same reference for every new generation. |
| Outfit colour shifts | Colour word is vague ("dark jacket") | Name the exact colour ("charcoal grey jacket"). |
| Character ages or changes gender | Description missing key anchor words | Always include age range and one distinctive feature. |
| Same prompt gives different faces | Seed varies each run | Lock the seed if your interface exposes it. Otherwise generate 3 takes and pick the closest. |
For reference-image prep, read Seedance reference images for characters. For the full lip-sync workflow on a consistent character, see Seedance 2.0 lip-sync and talking heads.
When to use something else
For using reference images specifically, see reference images for characters. For better prompts in general, see better prompts for Seedance 2.0.
How to get reliable results in your video workflow
How to Make Consistent Characters in Seedance 2.0 becomes much more useful once it is tied to the rest of the workflow around it. In real work, the result depends on prompt structure, motion control, visual consistency, and the editing workflow around generated clips, not only on following one local tip correctly.
That is why the biggest win rarely comes from one clever move in isolation. It comes from making the surrounding process easier to review, easier to repeat, and easier to hand over when another person inherits the workbook or codebase later.
- Start with simple prompts and add complexity only after the basic version works.
- Generate multiple variations and select the best rather than trying to get perfection in one shot.
- Build prompt templates for your recurring content types so quality stays consistent.
How to extend the workflow after this guide
Once the core technique works, the next leverage usually comes from standardising it. That might mean naming inputs more clearly, keeping one review checklist, or pairing this page with neighbouring guides so the process becomes repeatable rather than person-dependent.
The follow-on guides below are the most natural next steps from How to Make Consistent Characters in Seedance 2.0. They help move the reader from one useful page into a stronger connected system.
- Go next to How to Use Seedance 2.0 With Reference Images for Consistent Characters if you want to deepen the surrounding workflow instead of treating How to Make Consistent Characters in Seedance 2.0 as an isolated trick.
- Go next to How to Write Better Prompts for Seedance 2.0 if you want to deepen the surrounding workflow instead of treating How to Make Consistent Characters in Seedance 2.0 as an isolated trick.
- Go next to How to Use Seedance 2.0 in Dreamina Step by Step if you want to deepen the surrounding workflow instead of treating How to Make Consistent Characters in Seedance 2.0 as an isolated trick.
Related guides on this site
These guides cover reference images, prompt writing, and content creation workflows for Seedance 2.0.
- How to Use Seedance 2.0 With Reference Images for Consistent Characters
- How to Write Better Prompts for Seedance 2.0
- How to Use Seedance 2.0 in Dreamina Step by Step
- How to Use Seedance 2.0 for YouTube Shorts Creation
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