generate_scene

shallow

io.github.molkex/omni-flash-veo3-nano-banana · Verify this server

Build a location precisely from a scene-layout/v2 map and generate its plate. This is the "exact location building" path: instead of describing the room in prose (which the model reinterprets — furniture drifts, depths change between shots), it renders a control image from the map's boxes (each object a colored block at its true position/size/depth, plus a 1-meter floor grid in true perspective), then asks the generator to REPLACE each block with its real object in the same camera — so the plate follows the geometry pixel-wise. Same room from another camera_id is the same space. scene_layout: a scene-layout/v2 dict — {format, units, room{w,d,h}, objects{...boxes}, cameras{<id>:{pos,look_at,fov_deg,framing?}}, ...}. The camera must carry fov_deg. camera_id: which camera in scene_layout.cameras to render from. aspect: PORTRAIT (9:16), LANDSCAPE (16:9) or SQUARE. 9:16 and 16:9 from one camera share the vertical FOV, so depths are identical across aspects. style / extra: prepended / appended prose (art style, mood) — geometry comes from the map. A box may carry `rot: [rx, ry, rz]` (degrees around the world X/Y/Z axes) and `pivot: [x, y, z]`, applied as p' = Rx·Ry·Rz·(p − pivot) + pivot, pivot defaulting to the box centre. That is how a POSE is expressed — a raised arm is a box rotated about the shoulder. Measured live 2026-08-09: moving a hand by 2–20 cm is ignored by the generator, rotating the arm by 15–60° comes through. Build motion out of angles. seed / image_inputs: same meaning as in generate_image. For a SEQUENCE of frames of one character, generate a reference frame first, then pass its mediaId as image_inputs on every following frame — that is what keeps the face, clothes and colours identical. A fixed seed alone does not: it only repeats an unchanged control image. depth: render the guide as a plain greyscale depth map instead of the colour hybrid (for an external depth-ControlNet). calibration: add frame markers, a back-wall grid and a 2 m ruler with 10 cm ticks — measured to cut the framing drift roughly fourfold. background: "dark" (default, unchanged) or "light". Use "light" when the plate must be on a white background: the generator sometimes copies the guide's own palette into the result, and a light guide makes that leak land as white rather than as a dark grid. control_png: return the layout guide itself, base64-encoded. OFF by default because it is hundreds of thousands of characters of TEXT — one guide can cost more context than the whole conversation around it. `control_png_kb` always reports its size. Returns {"urls", "media_ids", "legend", "control_png_kb"} — legend maps block colors to objects. Add control_png=True to also get the guide itself for inspection/acceptance.

100.0/100

1 trials · measured 2 days ago

generate_scene scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.molkex/omni-flash-veo3-nano-banana, measured 31 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
gated
Category
Content & media
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-31100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: generate_scene
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generate_scene — Vouch