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scenario-wan

Use when generating or editing video with Wan models on Scenario via MCP: text-to-video, image-to-video from a still, first and last frame brackets, extending a clip, instruction-based video editing, character motion transfer or person replacement (Animate), aspect ratio reframing, video outpainting, uploaded-audio sync or auto-generated audio, or multi-shot prompts with timing brackets. Keywords: Wan 2.7, 2.6, 2.5, 2.2, Alibaba, VACE, T2V, I2V, V2V, lip-sync, multiShots.

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Scenario Wan Video

Overview

Wan, Alibaba's video family on Scenario, ships each job as its own member, and members a generation apart disagree on parameter names, not just numbers: pick the member with search, then treat model_schema_get as the contract before every run. Wan 2.7 Image is an image model, covered by the scenario-image skill.

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

Members by job (at authoring time):

JobMemberRequired inputs
Text to video2.7, 2.6, 2.5 T2Vprompt
Animate a still2.7, 2.6, 2.5 I2Vimage + motion prompt
Extend a clip2.7 I2Vvideo + prompt (excludes image)
Restyle footage2.7 Video Editvideo + edit prompt
Character performs a video's motion2.2 Animate (Move)imageUrl + videoUrl
Swap the person in footage2.2 Animate (Replace)videoUrl + imageUrl
Change aspect ratio2.2 ReframevideoUrl
Expand the canvas2.2 OutpaintingvideoUrl + prompt

Parameters do not port across generations. At authoring time: the 2.7 generators take resolution (720p or 1080p) and whole-second duration from 2 to 15, with aspectRatio (16:9 through 3:4) on T2V only. 2.6 and 2.5 T2V instead take one size string such as "1920*1080", with duration from a fixed grid (5, 10, or 15 on 2.6; 5 or 10 on 2.5), while their I2V members take resolution. Video Edit takes a 2 to 10 second source; its duration is optional and truncates. Reframe and Outpainting have no duration: length is numFrames (81 to 241) at framesPerSecond (5 to 30), and output matches the source only when matchInputNumFrames and matchInputFramesPerSecond are true (both default false). Outpainting guides new content with up to 10 refImageUrls.

On 2.7 I2V, image and video are mutually exclusive, and endImage (last frame) is only valid alongside image. Resolution and duration carry cost (1080p ran about triple 720p on 2.7 T2V at authoring time), so dry_run before batches.

Prompt the member's job

T2V wants a full scene in natural language: subject action, one camera move, lighting, style tags. I2V wants motion only: the still already fixes look and composition, so re-describing it wastes the prompt. Video Edit wants instructions, one clear change per sentence with a precise target, plus preservation language ("keep subject identity and camera path"); referenceImage carries a target look. In-frame readable text is unreliable on every member; push artifacts into negativePrompt (Video Edit and Animate lack it).

2.6 alone does multi-shot: with multiShots true (the default, but active only while enablePromptExpansion is true), open with a global style line, then Shot 1 [0-3s] ..., Shot 2 [3-7s] ..., keeping characters and location continuous. enablePromptExpansion defaults true on the generators (helps thin prompts, adds latency) and false on Reframe and Outpainting.

Where the audio comes from

The 2.7 generators always deliver audio: upload an audio file to drive it, or omit it and a synced track is generated from whatever sound the prompt describes, so prompt the ambience you want. On 2.6 and 2.5, audio comes only from an uploaded file (3 to 30 seconds, 15 MB or less at authoring time), which 2.6 lip-syncs. Video Edit's audioSetting decides the track: origin keeps the source audio, auto lets the model regenerate it. Animate carries the source track while mergeAudio stays true (the default).

Worked example: bracket a shot between two stills

  1. search with target="models", query="wan image to video", public=true. Prefer the newest non-deprecated hit, e.g. model_wan-2-7-i2v (a live hit at authoring time: re-discover each session).
  2. model_schema_get with that id: exclusivity notes, caps, defaults.
  3. upload_asset the opening and closing stills (see the scenario skill) for asset ids.
  4. model_run with that model_id, dry_run=true, and parameters={"prompt": "She turns from the window and walks toward the door, coat swaying; slow push-in. Room tone and distant traffic.", "image": "asset_open", "endImage": "asset_close", "duration": 5, "resolution": "1080p"} for the cost estimate; re-estimate after changing duration or resolution.
  5. Re-run with wait=false, then jobs_wait with the returned job id, re-called with pending_job_ids on timeout, never a second model_run.
  6. asset_display the output and review motion and audio together.

Common mistakes

  • Combining image with video on 2.7 I2V, or passing endImage without image: the schema forbids both.
  • Porting a 2.7 payload to 2.6 or 2.5 T2V: they take size ("1280*720" style), not resolution plus aspectRatio, and off-grid durations fail.
  • Expecting Reframe or Outpainting to preserve length: defaults render 81 frames at 16 fps; set the two match flags.
  • Outpainting's expand flags default to all four sides: set the unwanted directions (expandTop, expandBottom, expandLeft, expandRight) to false.
  • Writing shot brackets with enablePromptExpansion false: multiShots is inert without it; no other member reads brackets.
  • Re-describing the still or requesting content changes in an I2V prompt: I2V animates; Video Edit changes content.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Handle review comments received on GitHub for the current branch's PR or a given PR number or URL, by triaging each unresolved thread, fixing what is warranted, pushing, and replying in each thread, when asked to address, fix or answer PR comments. Works in any Scenario repository.

日本語の概要は準備中です。原文の説明を表示しています。

scenario-labs/skills9922026年10月13日 更新

Generate one short Conventional Commits squash message describing only the net diff between the PR's base and head, set its header as the PR title, validate it with the repository's commitlint and both copy its description to the clipboard and display it, when asked for a squash message. Works in any Scenario repository, whatever its default branch.

日本語の概要は準備中です。原文の説明を表示しています。

scenario-labs/skills9922026年10月13日 更新

Refresh the current pull request description from its net changes, following the repository's PR template, when asked to update or write the PR summary. Works in any Scenario repository, whatever its default branch.

日本語の概要は準備中です。原文の説明を表示しています。

scenario-labs/skills9922026年10月13日 更新

scenario

無料

Use when connecting an AI agent to Scenario (scenario.com) through MCP, or when a task involves generating images, video, 3D, audio, sprites, textures, or game assets. Also when picking a Scenario model, running a LoRA, refining a generation prompt, uploading reference images, waiting on generation jobs, checking credits or quota, hitting Scenario auth, scope, or Forbidden errors, or setting up mcp.scenario.com in Claude Code, Cursor, VSCode, or another agent.

日本語の概要は準備中です。原文の説明を表示しています。

scenario-labs/skills9922026年10月13日 更新

Use when generating or handling 3D assets through the Scenario MCP server, including text-to-3D or image-to-3D meshes, GPT-6 Astra 3D or Claude Opus 5.5 3D, GLB, FBX, OBJ, STL, or VOX files, PBR-textured or game-ready models, voxel models, multi-view reconstruction, retexture, remesh, UV unwrap, auto-rigging a biped or quadruped, or retargeting an animation, previewing a mesh in the inline 3D viewer, or downloading a model for import into Unity, Unreal, Godot, or Blender.

日本語の概要は準備中です。原文の説明を表示しています。

scenario-labs/skills9922026年10月13日 更新

Use when generating navigable 3D worlds or Gaussian splat scenes on Scenario via MCP: text-to-world, image-to-world, a 360 panorama or skybox turned into a walkable splat, multi-view photos or a video walkthrough reconstructed as a splat, or one object photo to splat. Keywords: World Labs Marble 1.1, 1.1 Plus, 1.0 Draft, Hunyuan World, HY World, image-to-skybox, skybox-to-splat, multiview-to-splat, TripoSplat, gaussian splatting, 3DGS, spz, world generation, explorable scene, VR.

日本語の概要は準備中です。原文の説明を表示しています。

scenario-labs/skills9922026年10月13日 更新

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