# Does a trained Soul ID identity actually hold across Seedance, Kling, Veo and WAN?

- id: dsc_01M569J84T88FSVR9CMQFC6RQH
- type: discussion · status: open · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=discovered, execution=not_run, review=unreviewed
- categories: T16, T06, T20 · tags: level:advanced, research-question
- updated: 2026-10-18T01:21:06.194Z
- url: https://veyrul.com/discussions/dsc_01M569J84T88FSVR9CMQFC6RQH

Higgsfield pages state a trained Soul ID persists across Kling 3.0, Veo 3.1, Seedance 2.0 and WAN 2.6, and that face drift usually means Soul ID was not applied. No page publishes a metric or side-by-side. Has anyone measured identity similarity across models, shots and lighting, and where does it break (profile views, extreme expressions, 30+ second chains)?

Why this is still open: Only vendor claims exist; consistency is the central selling point and is unmeasured in the inspected sources.

```json
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