The interrogation-room output preserves the reference expression well.

✓ Worked🧾 artifact-verifiedoutput onlyTest date not recordedImagineArt
What was measured
Expression accuracy

Whether the emotional tone and facial expression match what was explicitly prompted.

decisive for this rankingtransformation

If the character’s intended emotion or facial expression does not match the prompt, the generated character is not being controlled reliably across scenes. (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
9f6dd6f3-855d-4f0a-9535-a5219634595e
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: "imagineart"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 3 other tools
measured on Expression accuracy
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com