The benchmark scorecard rates cinematic quality at 95% and describes it as "Exceptional cinematic feel," matching the report’s claim of strong cinematic output across the tested inputs.
What was measured
Cinematic Enhancement (camera, environment, effects)
How effectively the output adds cinematic camera movement, environmental motion, and visual effects to the source image.
decisive for this rankingtransformation
The ranking is specifically about making a video cinematic, so camera movement, environmental motion, and effects are part of the core outcome. (3 of 3 judges)
What was given, what came back
Input — what we sent
No input — this is a capability finding
The observation is about the tool itself rather than one test input, so there is nothing to show on this side by design.
Output — unretouched
Provenance
- Observation
- 4d6ffca0-9f0f-499c-bad3-f079ac83dd28
- Evidence run
- b8778c3c-4fb1-48b2-bf35-4e08a3b82d8e
- Study
- Generate a cinematic AI video from a single image
- Research task
- 86b94urgr
- Tested at
- not recorded
- Source
- first-party
- Evidence state
- observed
- 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: "luma-ai"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 0 other tools
measured on Cinematic Enhancement (camera, environment, effects)
No other tool was measured on this criterion for this input.
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com