generate_video

shallow

io.github.hermoso-ai/hermoso · Verify this server

Render a RAW video clip from your own prompt and return its served mp4 URL. For finished brand ADS prefer render_ad (it runs the Studio quality pipeline — composited text, clean speech, end card, music); use this for raw/experimental clips or precise manual control. ONE generation = one continuous clip up to the model’s longest listed duration — the longest-clip model in the catalog today renders a full multi-beat spot of up to 30 SECONDS in ONE unbroken take with native synchronized audio, so never assume a generic 8–10s cap and never stitch something that fits one clip; durationSeconds must be one of the model’s durations from hermoso_capabilities, which is the live list. TO GET A SPECIFIC MODEL, NAME IT in `model`: an unnamed render is routed by the server’s own auto-pool, which is narrower than the catalog, so the longest-clip and highest-resolution models are reached by naming them and not by omitting the field. Renders take 1–3 min. refImage anchors the opening frame; ttsScript adds a voiceover. AUDIO IS NOT FREE AND NOT OPTIONAL BY DEFAULT: a clip delivered with no audio of its own gets a music bed composed and CHARGED on top of the render (see musicMood and audio) — on a cheap short draft the bed can cost as much as the clip. Pass refVideo (a clip URL) to EDIT an existing video instead of generating from scratch — the omni engine transforms that clip per your prompt, inheriting the source clip’s canvas + length (aspectRatio/durationSeconds are ignored for an edit). RAW MODEL ACCESS: your prompt is NOT dispatched verbatim by default — a few small guards are appended (packaging/label safety when no reference image rides, a negative prompt on the models that take one, reference-binding lines when references ride) and hex colour codes are rewritten to colour names. Pass raw:true for none of that. raw:true dispatches your prompt to the model BYTE-IDENTICAL — no rewriting, no appended guidance, no negative prompt, no brand references attached on your behalf. Credits, the durable delivery of the finished asset and the per-model validation are unchanged. Spends credits (Starter plan is video-blocked server-side).

100.0/100

1 trials · measured 8 days ago

generate_video scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.hermoso-ai/hermoso, measured 25 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 + stdio
Credential class
gated
Category
Content & media
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

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_video
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generate_video — Vouch