5 MINUTE GUIDE
Why AI hairstyle tools can change your face
A generative model may redraw the whole head instead of editing only hair. HairWhatIf uses your photo as the identity and scene baseline and withholds candidates that fail identity, locality or artifact checks.
01
Generation is not a pixel lock
Models reconstruct visual patterns. Without role and locality constraints, face geometry, expression, skin or lighting can drift.
02
B is the baseline
Your target photo supplies identity, pose, body, clothing, background, framing and light. The reference supplies hairstyle structure only.
03
Candidate is not delivered
A provider response must be checked for identity, hair fidelity, locality and artifacts before it can become a result.
04
What still can fail
Occlusion, large pose gaps, hidden hair and ambiguous boundaries can still produce a quality failure. HairWhatIf must withhold severe drift; credit settlement remains tied to delivery.
Sources and limits
- HairWhatIf product engineering blueprint — quality gates
- HairWhatIf current go/no-go