Holds the near-profile angle closely and keeps the character recognizable, though the facial features are slightly refined and smoothed compared with the reference.

✓ Worked🧾 artifact-verifiedoutput onlyTest date not recordedChatGPT
What was measured
Identity preservation

How closely the generated face matches the reference image across scenes.

decisive for this rankingtransformation

This is the core of the task: the tool must keep the same character looking like the reference image across scenes. (3 of 3 judges)

What was given, what came back

Test input: Near-profile occluded portrait stress test · image
Input — what we sent
Input not captured
This run recorded no prompt or input file for the test, so we cannot show you what produced the result below. Capture gaps are tracked, not hidden.

Near-profile portrait reference used as the maximum-difficulty stress test: face turned roughly 80–90 degrees, one eye partially occluded by fringe, short dark wavy hair, and natural outdoor lighting. Designed to probe whether tools can preserve identity under severe pose and occlusion.

Why this input is hard
  • · Near-profile identity preservation
  • · Occlusion handling
  • · Extreme pose consistency
  • · Lighting and hair-detail retention under stress
Output — unretouched
image
Provenance
Observation
7813fc39-8282-479d-adb5-7b09e09a84cc
Evidence run
1dfb8fa4-f7f0-47dc-911b-7db3af467e9a
Study
Generate Consistent AI Characters Across Different Scenes and Poses
Research task
86b96df11
Tested at
not recorded
Source
first-party
Evidence state
verified
Proof shown
output only
Cost / latency
not captured
Repeat run
not captured
Tester
not captured

The last three rows are honest blanks, not placeholders — our capture has no field for them yet.

Query this
get_evidence({
  tool: "chatgpt"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 4 other tools
measured on Identity preservation
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com