The same neutral-expression failure repeats on a second reference, so the tool still misses the prompt's angry, guarded tone.
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
Also checked on this input — same tool, 6 other criteria
Accessory & detail retention⚠ StruggledDense natural curls are not retained; the tool flattens them into straight, oily-looking hair.Accessory & detail retention✓ WorkedIt preserves curl volume and hair texture better in the market scene than it does in the interrogation scene.Identity preservation◐ MixedOn a harder 3/4 reference, it can keep face shape, skin tone and eyebrows close, but the hair geometry drifts enough that the result is only partly faithful.Identity preservation◐ MixedWhen the face is turned partly away in a busy scene, the output still feels like the same character but cannot be fully verified.Scene compliance✓ WorkedIt can stage a lively crowded market with a natural walking pose, sari styling and believable bag placement.Scene compliance◐ MixedIt reproduces the formal outfit and room, but the lighting becomes too bright and clean for an interrogation scene.
Provenance
- Observation
- ca959663-ea8a-4b8b-9cee-60d17e3305d5
- 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: "leonardo-ai"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 3 other tools
measured on Expression accuracy
ChatGPT✓ WorkedDelivers the requested cold, guarded, unsmiling expression with the exact vibe the prompt asked for.Gemini✗ FailedThe tool can miss the requested emotion entirely, producing a neutral and emotionless face instead of the prompted angry and guarded look.ImagineArt✓ WorkedThe interrogation-room output preserves the reference expression well.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com