Preserves all three named accessories in a frontal portrait with near-100% retention: the bindi, gold jhumka earrings, and green stone necklace stay visible, and the hair colour/texture remains consistent; the main trade-off is slightly over-smoothed skin texture.

✓ Worked🧾 artifact-verifiedinput + output shownTest date not recordedChatGPT
What was measured
Accessory & detail retention

Retention of specific features — bindi, hair texture, skin tone, jewellery.

decisive for this rankingtransformation

Small identifying details like jewellery, bindi, hair texture, and skin tone are part of maintaining a consistent character identity across generations. (3 of 3 judges)

What was given, what came back

Test input: Full frontal portrait · image
Input — what we sent
Full frontal portrait
Full frontal portrait

Full frontal portrait reference image with fair skin, curly dark hair, bindi, gold jhumka earrings, and a green stone necklace. All features are clearly visible in good natural lighting, making it the easiest identity anchor for the tools.

Why this input is hard
  • · Baseline identity preservation
  • · Accessory retention
  • · Best-case frontal face matching
  • · Consistent character reuse across varied scenes
Output — unretouched
image
Provenance
Observation
0ffd702f-0559-4b2e-88f3-a9711a961585
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
input + output shown
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 — 2 other tools
measured on Accessory & detail retention
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com