Short Answer
The “virtual-face whitelist” included with the Seedance 2.0 channel is an upstream capability enabled at the platform channel level. It does not need to be, and cannot be, manually enabled on your APIYI token or account. However, this does not mean that an image containing a face can always be submitted directly as a public URL or Base64 first frame or reference image. If an AI-generated virtual model is classified as “possibly containing a real person,” upload it to the Seedance 2.0 Asset Library, wait until its status becomesActive, obtain its asset://xxx ID, and use that asset ID in the video-generation task.
Channel access and trusted-asset status are different concepts
- Virtual-face whitelist: Already available on the platform channel; no separate account or token activation is required
- Asset ingestion: Registers a specific face image as a trusted asset and returns an
asset://ID that can be used for video generation
Why an AI-Generated Face Can Still Be Blocked
The upstream content-safety system assesses the image itself for faces or possible real-person content. It does not rely solely on a statement that the image was generated by AI. A highly realistic virtual model may therefore be classified as “possibly containing a real person,” and direct URL or Base64 input can still trigger anti-deepfake filtering. This normally does not mean that your APIYI account is missing a whitelist or that your token permissions must be changed. The correct solution is to ingest the image first so that it becomes a trusted asset.Correct Workflow for an AI Virtual Model
1
Sign in to the Asset Library
Open the icover.ai Asset Library, then register or sign in to your icover.ai account.
2
Upload the virtual portrait
Upload the AI-generated model under “Virtual Portrait Ingestion.” Supported formats include jpeg, png, webp, bmp, tiff, gif, and heic. The aspect ratio must be 0.4–2.5, each side must be 300–6000px, and each file must be under 30MB.
3
Wait for the asset to become active
Wait about ten-plus seconds until the status becomes
Active, then copy the asset://xxx ID. An asset ID can be reused and does not need to be regenerated for every task.4
Choose a generation method
In the icover.ai online generator, select Multimodal mode and set the reference-image type to Asset. For an API request, place
asset://xxx in image_url.url.5
Set the image role
Use
role: "first_frame" when the asset is the first frame, or role: "reference_image" when it is a character or style reference. Refer to the asset as “Image 1” in the prompt.Must I Use a Preset Asset or a Seedance-Generated Image?
No. All of the following sources can be used, but face assets should follow the appropriate workflow:
The key requirement is not which model generated the image, but whether the face image has become an active trusted asset.
Can the AI Face Whitelist Be Enabled for My Account?
No separate activation is required, and there is no user-facing “AI face whitelist” switch on an account. The platform channel already includes the relevant upstream virtual-face capability. Your required action is asset ingestion, not a token-permission change. If a virtual portrait fails ingestion, or an activeasset:// ID is still blocked, contact support and provide the following information so the asset state or upstream review result can be investigated:
- Your APIYI account or registered email
- The model name used
- The asset ID (
asset://xxx) - The video task ID and complete error message
- A screenshot of the asset-ingestion status
Directed-Access Notice for Seedance 2.0
Because the Seedance series uses direct official upstream resources and is subject to platform protection policies, it is currently intended primarily for selected customers with specific business needs. Its pages may therefore be hidden from the public documentation navigation, but they remain available through the following direct links:Seedance 2.0 Overview
Review model capabilities, input restrictions, billing, and common questions.
Video Generation API
Review request formats for first-frame, first-and-last-frame, and multimodal reference generation.
Asset Library
Review virtual-person ingestion, real-person verification, asset requirements, and API endpoints.
Asset Reference Guide
Follow the complete upload, ingestion,
Active polling, asset-reference, and video-download workflow.