Clears the face block
Seedance 2.0 refuses any reference image with a detectable real face. FacePass is the approved path past that block.
FacePass Use a real face in AI video
Register a face you have the rights to, clear it once, then generate — no "face detected" wall.
Why FacePass exists
Most AI video models refuse reference images with a real human face. FacePass is the authorized way through.
Reviewed once
Submit a face once. It runs a likeness-ownership review before any render — image references clear fast, video runs a short pre-render check.
Authorized faces only
Only a face you own or hold written consent for. No celebrities, public figures, or minors — enforced at review.
Real-person risk, handled
Pre-clearance keeps unauthorized likenesses out before generation, so a real face is used the legitimate way.
How it works
Step 1Add the face
Drag one clear photo into Canvas. iPhone quality is fine — as long as you hold the likeness rights to that face.
Step 2Pass review
Right-click → "Add to FacePass". A likeness-ownership check runs: image references clear quickly; video runs a short pre-render review.
Step 3Generate with it
Once cleared, the face is a whitelisted reference. Use it in Seedance 2.0 and other models without hitting the real-face block.
What a cleared face unlocks
Legitimate, rights-cleared faces brought into very different scenes.
Your own likeness
Put your own cleared face on camera — a creator fronting their own short-form content.
A consented presenter
A model who signed off appears in a cinematic scene, cleared through FacePass first.
Brand spokesperson
An authorized brand face carried into a high-production sequence.
Across styles
The same cleared asset stays usable through a full costume and scene change.
FAQ
1.What is FacePass?
FacePass is Renoise's face-authorization feature. Models like Seedance 2.0 block reference images containing a real human face; FacePass lets you register a face you hold the rights to, pass a one-time likeness review, and then generate with that cleared face.
2.Why do AI video models block real faces?
Seedance 2.0 refuses any reference image or video with a detectable real human face — the refusal is at the model layer, so every platform built on it hits the same "face detected" block. It exists to prevent unauthorized-likeness and impersonation misuse. FacePass is the compliant route for faces you are authorized to use.
3.Whose face can I use?
Only a face you own or hold written consent for. Public figures, celebrities, and minors are not permitted, and you must comply with the likeness and publicity laws of your target region. Authorization is checked at submission review.
4.How long does review take?
Image references are usually cleared right away because the check is bundled into the render. Video runs a separate short pre-render review for likeness ownership, so it takes a little longer before the first generation.
5.Does clearing a face guarantee it goes through?
No. FacePass is a review step, not a guarantee — submissions without valid likeness authorization, or involving public figures or minors, are rejected. Faces you genuinely hold the rights to are the ones that clear.
6.Which models does FacePass work with?
All Renoise-integrated video and image models: Seedance 2.0, Kling 3.0 Omni, Nano Banana Pro, Nano Banana 2, GPT Image 2, and Midjourney V7. Once a face is cleared, it stays usable as a reference when you switch models inside the same project.
7.Is my uploaded face shared with other users?
No. Uploads are de-duplicated by MD5 within your own account and are not shared across users. A cleared face lives in your asset library as a private, whitelisted reference.
Clear a real face. Then create.
By Renoise AILast reviewed Models verified: Seedance 2.0, Kling 3.0 Omni, Nano Banana Pro