It can place the subject in a believable interrogation setup with the correct outfit, but the room stays too neat and loses the harsh institutional atmosphere.
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: Full frontal 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.
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
Also checked on this input — same tool, 5 other criteria
Accessory & detail retention⚠ StruggledIt drops the reference's natural curl pattern and smooths hair and skin detail into a more stylised finish.Expression accuracy✗ FailedIt does not translate an explicitly angry or guarded prompt into facial expression, defaulting to calm neutrality.Identity preservation⚠ StruggledThe tool can keep the café mood and pose while drifting the face enough that a frontal reference reads as a lookalike rather than the same person.Identity preservation✗ FailedIt can render the desert action scene cleanly while replacing the reference with a different character whose face, proportions and overall appearance no longer match.Identity preservation◐ MixedIt can keep a frontal character recognisable in a new scene, but the face is refined enough that the match is only moderate.
Provenance
- Observation
- 504bb238-1d54-4cff-bc33-9bd9b9bb9b59
- 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: "leonardo-ai"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 4 other tools
measured on Scene compliance
ChatGPT✓ WorkedRecreates the requested desert action scene accurately, including the environment, scene-appropriate attire, and hairstyle, with no visible distortion or artifacts.Gemini✓ WorkedThe horse-riding prompt is followed strongly, including the dusty desert setting, sunset lighting, horse motion, riding costume, gloves, boots, scarf, and believable action pose.ImagineArt✓ WorkedThe desert-horse output follows the scene prompt well, including the black horse, desert setting, riding outfit, scarf, braided hair, and dynamic motion.Scenario◐ MixedIt can reproduce the interrogation-room setup and wardrobe, but the requested harsh mood is softened because the lighting and facial affect stay gentle.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com