Executes the market scene strongly: the crowd feels authentic, the mustard sari and red blouse match the prompt, and the jute bag with vegetables is present.

✓ Worked🧾 artifact-verifiedoutput onlyTest date not recordedChatGPT
What was measured
Scene compliance

How accurately the output follows the prompt — environment, attire, pose, props.

decisive for this rankingtransformation

The ranking is about using the character in varied scenes and poses, so following the requested environment, attire, pose, and props is central to success. (3 of 3 judges)

What was given, what came back

Test input: Three-quarter face portrait · 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.

Three-quarter face reference image with medium-dark skin, tight curly hair in an updo, bindi, and a floral dress. The partial angle and softer lighting make it a harder reference than the frontal portrait and are meant to stress identity consistency.

Why this input is hard
  • · Identity preservation with partial face angle
  • · Hair texture and updo retention
  • · Skin tone fidelity
  • · Reference-image difficulty under softer lighting
Output — unretouched
image
Provenance
Observation
c3fba2ff-eb7e-4ef1-9658-7af7cce5d52c
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 — 3 other tools
measured on Scene compliance
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com