Evidence · first-party tested/Best AI Tools for Consistent AI Characters Across Scenes and Poses

The interrogation-room output flattens the dense curly hair substantially and makes the eyebrows look shorter and slightly uneven.

⚠ Struggled🧾 artifact-verifiedinput + output shownTest date not recordedImagineArt →

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 file 1 — as supplied

Three-quarter face portrait — Input file 2 — as supplied

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✓ WorkedThe interrogation-room output preserves the reference expression well.Identity preservation✓ WorkedThe interrogation-room output stays close to the reference in face shape, skin tone, expression, posture, and overall appearance.Identity preservation◐ MixedThe market output keeps the subject reasonably close overall, but the report still calls the identity match moderate because the skin tone shifts and other facial details change slightly.Scene compliance✓ WorkedThe interrogation-room output follows the clothing, lighting, pose, and environment accurately.Scene compliance✓ WorkedThe market output renders the market environment realistically and follows the prompt well.

Provenance

Observation: a92e28aa-2d3c-4c18-a0dd-fe683af1dfde
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: "imagineart"
})

MCP · mcp.aidemos.com/api/mcp

JSON · ai.aidemos.com/v1/observations/a92e28aa-2d3c-4c18-a0dd-fe683af1dfde

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.Gemini✓ WorkedA busy market scene can still preserve fine clothing and hair details, keeping the sari, blouse, hairstyle, and curly hair texture recognizable.Leonardo AI⚠ StruggledDense natural curls are not retained; the tool flattens them into straight, oily-looking hair.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

Best AI Tools for Consistent AI Characters Across Scenes and Poses →

Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com