A busy market scene can still preserve fine clothing and hair details, keeping the sari, blouse, hairstyle, and curly hair texture recognizable.
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: 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, 5 other criteria
Expression accuracy✗ FailedThe tool can miss the requested emotion entirely, producing a neutral and emotionless face instead of the prompted angry and guarded look.Identity preservation✓ WorkedIn the crowded market scene, the character stays highly recognisable, preserving face shape, smile, eyebrows, and overall facial structure.Identity preservation✓ WorkedWith a 3/4 reference, the interrogation-room output still preserves identity well, keeping face shape, skin tone, curly hair texture, eyebrows, and overall structure close to the input.Scene compliance✓ WorkedThe crowded market prompt is followed strongly, with a busy outdoor background, realistic crowd density, market stalls, and a natural walking pose with tote bag.Scene compliance✓ WorkedThe interrogation-room prompt is followed well, including the table, plain wall, overhead light, formal clothing, and clinical lighting.
Provenance
- Observation
- 84e483a7-bbbe-4f0b-8b0a-242be173f910
- 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: "gemini"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 4 other tools
measured on Accessory & detail retention
ChatGPT✓ WorkedRetains the bindi and strong brows in the frontal output, while only slightly darkening skin tone relative to the reference.ImagineArt⚠ StruggledThe market output lightens the skin tone, removes visible skin marks and scars through smoothing, and makes the lips look less full and more evenly coloured.Leonardo AI✓ WorkedIt preserves curl volume and hair texture better in the market scene than it does in the interrogation scene.Scenario✓ WorkedIt retains curly hair texture especially well for the secondary reference, which the report calls the best hair result for that input.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com