u/SwiinkaPeppa

Hey everyone,
Has anyone gotten Seedance 2.0 working reliably for human/UGC-style video through BytePlus ModelArk?

I’m building a video generation pipeline where the user uploads product photos and selects a preset. Internally we generate keyframes first, then animate each keyframe into short clips and stitch the final ad.

The issue: when the keyframe contains a realistic human/UGC creator, Seedance often blocks it for people/privacy recognition. Product-only and hands/product shots are fine, but clear human faces are the problem.

I was previously testing through OpenRouter, but now I created a direct BytePlus ModelArk API key with Seedance 2.0 / Mini / Fast enabled, yet I am still experiencing this errors with the blockage of real people, since we have a lot of presets that include people in them.

Questions:

1. Does direct ModelArk access handle human/UGC clips better than OpenRouter?

2. Is there a specific verified-human or asset-library flow required for realistic people?

3. For those using Seedance in production, are you doing text-to-video for people instead of image-to-video from keyframes?

Not looking to bypass safety filters. I’m trying to understand the correct production setup for legitimate fictional UGC/product ad videos.

I’m starting to think a lot of Meta ads don’t fail because of the algorithm. They fail because the creative is unclear before it even goes live.

I see this all the time:

The design looks good. The branding is clean. The image is decent.

We launched a small tool around this yesterday, and the biggest lesson was simple: People understand the product way faster when we say:

“Know if your ad will perform before you spend money testing it.”

Curious how you guys check creatives before launching.

Do you look at the hook first, the offer, the visual, or the audience fit?