Seedream 5.0 Pro to Seedance: a trusted image-to-video path

Feed an AI-generated portrait into a video model and there's a decent chance it gets flagged — the face detector doesn't know the "person" was generated a minute ago, so it treats the input like a real photo of a real person and routes it into moderation. That friction is exactly what the connection between Seedream 5.0 Pro and the Seedance video family is built to remove. Images from Seedream 5.0 Pro (and 5.0 Lite) count as trusted inputs across the entire Seedance lineup — 2.5, 2.0, Fast, and Mini — so a generated portrait or scene keyframe can move from image to video without tripping real-person checks on the way in. Here's exactly what that mechanic covers, what it doesn't, and how to run the workflow inside OmniArt.

Why this friction exists in the first place

Video models that accept a reference image typically run face detection on it before generation starts. That's a reasonable default — it's how a platform catches someone trying to animate an unauthorized photo of a real person. The problem is that the same check can't easily tell a synthetic face from a real one, so a portrait you just generated in an image model gets treated with the same suspicion as a photo pulled from somewhere else. For any workflow built around AI-generated characters — avatars, virtual hosts, concept art brought to life — that means extra moderation delay on content that was never a real person to begin with.

How the Seedream → Seedance trust mechanic works

Effective July 1 and fully live alongside the July 8 Seedream 5.0 Pro launch, images generated by Seedream 5.0 Lite and Pro carry an invisible trusted watermark. Every model in the Seedance family reads that watermark, recognizes the image as same-ecosystem AI generation, and bypasses its real-person detection step for that input. A few conditions define exactly when that applies:

• It only fires on face detection. If the image you're feeding into Seedance doesn't trigger a face check in the first place, the trust mechanic isn't relevant — it exists specifically to unblock portraits and character faces.
• It only covers the same account. The watermark is tied to the account whose API generated the Seedream image. Trust doesn't transfer across accounts or organizations.
• Text-to-image is trusted automatically. If you typed a prompt and Seedream generated the portrait or scene from scratch, that output is a trusted input for every customer, no extra step required.
• Image-to-image needs KYC first. If you started from your own reference photo and had Seedream edit or restyle it, that output only becomes a trusted input after the account passes KYC verification — contact sales to get that set up. Until then, image-to-image outputs are treated like any other upload.

What "trusted" does not cover

This is the part worth being precise about. Trust removes moderation on the input — it means Seedance doesn't stop a legitimate synthetic face at the door and mistake it for an unauthorized real photo. It says nothing about the finished video. The clip you generate still goes through normal output moderation like anything else made on the platform, and content that violates policy at that stage gets caught the same way it would for any other job.

Two workflows this unlocks

Avatar and portrait creation. Generate a character's face in Seedream 5.0 Pro, then carry it straight into Seedance for animation — a talking-head clip, a short performance, a looping idle animation for a virtual presenter. Because the face came from Seedream in the same account, Seedance doesn't need to stop and verify it's not an unauthorized photo of someone real.

Scene-frame creation. Generate a full scene as a keyframe in Seedream 5.0 Pro — an establishing shot, a location, a moment with a character already in frame — then use it as the trusted start frame for an image-to-video generation in Seedance. This is the same mechanic applied to a wider shot rather than a tight portrait, useful any time your keyframe includes a face in the scene.

Step-by-step: portrait to video inside OmniArt

Both image and video live in the same OmniArt workspace, so this workflow is a model switch, not a platform switch.

1. Open Seedream 5.0 Pro in the image workspace. Write a text-to-image prompt describing the character or scene you want — face, lighting, framing, style. Keeping this step text-to-image (rather than editing an uploaded photo) is what makes the output trusted automatically.
2. Generate and review the portrait or keyframe. Look specifically at the face — identity consistency, expression, and framing, since that's the region Seedance will anchor motion to. Regenerate or run an interactive edit in Seedream 5.0 Pro if the face needs adjusting before you move on.
3. Carry the image into the video workspace. Switch to Seedance — 2.5, 2.0, Fast, or Mini depending on the job — and upload the Seedream output as your source or reference frame for image-to-video.
4. Write the motion prompt, not the face prompt. The face and framing are already locked in from the reference image; describe camera movement, expression change, and environment instead of re-describing the person, the same way you would anchor a product shot in a reference-image workflow.
5. Generate and check the clip. Because the input skipped the false real-person flag, generation should proceed straight into normal processing. The output is still subject to standard content moderation, so review the result as you would any generated video.
6. Iterate from the same trusted portrait. Reuse the Seedream keyframe across multiple Seedance generations — different camera moves, different Seedance tiers, different durations — without regenerating the source face each time.

Choosing a Seedance tier for the job

All four Seedance models honor the same trust mechanic, so the choice between them comes down to the job, not the moderation step.

Run a cheap pass in Fast to lock the motion and framing, then re-generate the keeper in 2.5 or 2.0 once the prompt and reference are dialed in — the same iterate-cheap-then-finalize pattern that works across OmniArt's video models generally.

Getting started on OmniArt

Seedream 5.0 Pro and the full Seedance lineup are both available in the OmniArt workspace today, so this workflow doesn't require waiting on an integration — generate a portrait or scene keyframe with a text prompt in Seedream 5.0 Pro, switch to the video workspace, and hand it to Seedance for motion. For more on what shipped in Seedream 5.0 Pro, see the launch overview, and for prompt technique on the image side, see the Seedream 5.0 Pro prompt guide.