About scenario-vidu
scenario-vidu is a skill for choosing and running Vidu video models on Scenario. It guides creators through model selection, prompt shaping, schema checks, and job review across text, image, and reference-based video modes.
Key features
- 01Select T2V, I2V, or Reference2V models
- 02Compare model tiers and schema limits
- 03Shape prompts for each generation mode
- 04Estimate runs with dry_run
- 05Wait for jobs and inspect output
Use cases
- 01Generate video from a text prompt
- 02Animate a still or connect start and end frames
- 03Create clips using identity references
- 04Check model limits before batch generation
MCP support
Uses Scenario tools such as search, model_schema_get, model_run, jobs_wait, and asset_display through the Scenario skill.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ scenario-labs/ skills --skill scenario-viduAfter installing, type/scenario-viduin Claude Code to confirm it loaded.
Details
From the project READMEScenario Vidu Video
Overview
Vidu, Shengshu Technology's video family on Scenario, ships one model per mode per tier instead of
folding every mode into one model: the model name carries both the mode (T2V, I2V, Reference2V) and
the tier (Q3, Q2, Q1, 2.0). Fifteen members were live at authoring time, so search the family,
pick by name, and treat model_schema_get as the contract, since caps disagree at every tier
boundary.
Connection and the core loop: see the scenario skill in this repo; model-agnostic video work: the
scenario-video skill. If a sibling skill named here is missing from your available skills, ask the
user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from
tool schemas and flag the gap.
Quick reference
Choose the model line by what you hold (input names from the live schemas):
| You hold | Line | Key inputs |
|---|---|---|
| Text only | T2V | prompt, aspectRatio, duration, resolution |
| One still to animate | I2V | generationType: "image_to_video", images with one id |
| Start and end frames | I2V | generationType: "start_end_to_video", images with two |
| Identity references | Reference2V | images, up to 7 |
In start/end mode array order decides: the first id opens the clip, the second closes it, and
generationType must match the image count. No I2V member exposes aspectRatio: geometry follows
the source stills. Reference2V carries identity (characters, props, palette), not the opening state;
to open on an exact frame, switch to an I2V member. One Reference2V member (Q2 Pro at authoring
time) also took videos: up to 2 reference videos (one of 8 seconds or two of 5, 100MB each, aspect
between 1:4 and 4:1), requiring images or videos.
Every member takes seed. audio (default false) is a background-music toggle, not sound design,
and on most Q2 members it silently does nothing at 9 or 10 seconds.
Tier picks the caps
At authoring time: Q3 ran 1 to 16 seconds; Q2 ran 1 to 10, with start/end mode capped at 8; 2.0 I2V
took exactly 4 or 8 seconds, and 8 only at 720p; Q1 exposed no duration or resolution at all, and
2.0 Reference2V no duration. movementAmplitude (auto, small, medium, large) exists only on the Q1
and 2.0 lines, and the general or anime style selector only on Q1 I2V members; on Q2 and Q3,
motion energy and style go in the prompt. Turbo and Fast variants cut latency at the same duration
and resolution caps as their Pro siblings. duration and resolution both move cost, several-fold
on one member alone, so dry_run the exact job before a batch.
Two prompt shapes
T2V and I2V want a 120 to 180 word single-shot paragraph in present tense: scene and lighting, one or two motions, one camera move in plain verbs (pan, dolly, zoom in), emotion as physical cues ("her shoulders slump"), no cuts, and in I2V nothing that is not already in the still. Reference2V wants the opposite: one short sentence, roughly 20 to 40 words, naming which element comes from which reference by position, "the character from image1 wearing the armor from image2, walking through a snowstorm". Prompt length caps differ per member, 2000 to 5000 characters.
Worked example: bridging two keyframes
searchwithtarget="models",query="vidu",public=true. Prefer the newest tier in the mode you need, e.g.model_vidu-i2v-q3-pro(a live hit at authoring time: re-discover each session).model_schema_getwith that id: duration bounds, resolutions, defaults.upload_assetthe start and end stills (see thescenarioskill) for two asset ids.model_runwith thatmodel_id,dry_run=true, andparameters={"generationType": "start_end_to_video", "images": ["asset_start", "asset_end"], "prompt": "The knight slowly lowers his sword as dusk settles over the courtyard. The camera dollies in on his face.", "duration": 8, "resolution": "1080p"}; expand the prompt to the full paragraph shape above in real runs, and re-estimate after any change to duration or resolution.- Re-run
model_runwithwait=false, thenjobs_waitwith the returned job id, re-called withpending_job_idson timeout, never a secondmodel_run. asset_displaythe output and check both anchor frames landed.
Common mistakes
- Two images with
generationType: "image_to_video", or one with start/end: the type must match the image count, and order sets start versus end. - Expecting a Reference2V clip to open on a reference image: references fix identity, not frame one; use an I2V member for exact opening frames.
- Carrying caps across tiers: 16 seconds is Q3 only; 2.0 I2V accepts only 4 or 8, and 8 forces 720p.
- Prompting dialogue or sound effects:
audioonly adds background music, and it drops out at 9 or 10 seconds on most Q2 members. - A 150-word paragraph on Reference2V, or a bare sentence on T2V: the two modes want opposite prompt shapes.
- Passing
videosto any Reference2V member: at authoring time only one took reference videos; read the schema first.