- 01
Define the workflow learning job
Treat “replace person in photo” as a search job to investigate, not as proof that a SEELE feature exists. First turn the query into a repeatable sequence with explicit inputs, review points, and a reversible handoff. Write the intended audience, source owner, desired change, protected details, reviewer, and delivery condition before selecting any interface or model. That brief keeps the evaluation specific and makes an unsupported assumption visible early. At the next gate, preserve the failure note, and ask the identity reviewer to record source fidelity before the delivery pass.
- 02
Prepare inputs for identity transformation
For this topic, assemble documented consent from every identifiable person, authorized media, a legitimate purpose, and a disclosure plan. Record where each source came from, who may use it, and what must remain unchanged. Use a small representative asset for the first pass, keep the original untouched, and define a fallback route so experimentation cannot silently become the production master. At the next gate, preserve the brief version, and ask the creative lead to record identity consent before the controlled revision.
- Confirm ownership, consent, and allowed reuse For the working record, preserve the authorization record, and ask the claims reviewer to record input provenance before the editorial approval.
- Preserve an untouched source and version history For the working record, preserve the failure note, and ask the delivery owner to record visible continuity before the editorial approval.
- Name the reviewer and acceptance condition For the working record, preserve the evidence table, and ask the workflow owner to record claim scope before the editorial approval.
- 03
Test observable controls for replace person in photo
A bounded evaluation should inspect identity scope, temporal consistency, expression fidelity, edit reversibility, provenance, and disclosure. Change one meaningful variable at a time and record the date, workspace, account context, input, setting, result, and failure. Topic selection can prioritize the question, but it does not establish availability, quality, speed, licensing, or a supported SEELE workflow. For the working record, preserve the continuity note, and ask the release approver to record temporal order before the editorial approval.
- 04
Review evidence, safety, and policy boundaries
Do not enable impersonation, non-consensual face or body replacement, deceptive endorsements, or evasion of safeguards. Any identifiable face, body, or voice requires explicit permission, a legitimate purpose, disclosure where required, and a human check against impersonation or deceptive endorsement. For third-party products, competitors, plans, models, and platform rules, attach a verification date and primary source; an absent statement is an evidence gap rather than proof of a limitation. For a controlled test, preserve the continuity note, and ask the continuity editor to record input provenance before the production checkpoint.
- 05
Approve a reversible production handoff
Before advancing “replace person in photo”, verify consent, inspect every frame for identity errors, preserve source records, and obtain a named human approval. Document remaining manual work, unresolved evidence, destination requirements, and the person accepting the result. The handoff should preserve sources and test notes, allow correction, and avoid promises about output quality, turnaround, business performance, publishing, or access that the evidence does not support. While evidence is current, preserve the brief version, and ask the rights reviewer to record failure conditions before the release review.