dLazy AIdLazy AI
Model ReferenceVideo Models

wan2.7

Tongyi Wanxiang 2.7 video model — one model covers text-to-video, first/last-frame-to-video, and reference-to-video: uses text-to-video when no images are provided, first/last-frame-to-video when frames are provided, and reference-to-video when reference images are supplied.

Tongyi Wanxiang 2.7 video model — one model covers text-to-video, first/last-frame-to-video, and reference-to-video: uses text-to-video when no images are provided, first/last-frame-to-video when frames are provided, and reference-to-video when reference images are supplied.

Overview

FieldValue
Model IDbailian-wan-2-7
CLIdlazy wan2.7
MCPwan2.7 (Claude Code surfaces this as mcp__dlazy__wan2.7)
Typevideo
ExecutionAsync task; the CLI polls until completion (--no-wait returns generateId immediately)
BatchSupports --batch <n> parallel fan-out

Parameters

ArgTypeRequiredNotes
promptstringYesPrompt
generation_mode"components" | "frames"NoGeneration Mode(components=Components; frames=Frames); default "components"
imagesarray<url>NoImages; image (accepts URL, local path, or data: URL); max 5 items; only when !(generation_mode="frames")
videosarray<url>NoVideos; video (accepts URL, local path, or data: URL); max 5 items; only when !(generation_mode="frames")
firstFrameurlNoFirst Frame; image (accepts URL, local path, or data: URL); only when generation_mode="frames"
lastFrameurlNoLast Frame; image (accepts URL, local path, or data: URL); only when generation_mode="frames"
audiourlNoAudio; audio (accepts URL, local path, or data: URL)
resolution"720P" | "1080P"NoResolution; default "720P"
duration"2" | "3" | "4" | "5" | "6" | "7" | "8" | "9" | "10" | "11" | "12" | "13" | "14" | "15"NoDuration (s); default "5"
prompt_extend"true" | "false"NoPrompt Rewrite; default "true"

--input @file.json or --input '{...}' can supply all args at once; flags take precedence over --input keys.

CLI Examples

dlazy wan2.7 --help
dlazy wan2.7 --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg"
dlazy wan2.7 --prompt "Write your prompt here" --images "./local-image.png"
dlazy wan2.7 --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --dry-run
dlazy wan2.7 --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --no-wait
dlazy wan2.7 --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --batch 4

Compose with a pipeline

dlazy gpt-image-2 --prompt "reference visual" \
  | dlazy wan2.7 --images - --prompt "Write your prompt here"

MCP

MCP is consumed by AI clients, not handwritten. Once dLazy is registered as an MCP server the tool appears in the client's tool list — Claude Code surfaces it as mcp__dlazy__wan2.7; generic clients (e.g. OpenClaw) call it as wan2.7.

See MCP setup for how to add the server.

Output

{
  "outputs": [
    { "type": "video", "id": "o_...", "url": "https://files.dlazy.com/result.mp4", "mimeType": "video/mp4" }
  ]
}

Media tools emit image / video / audio / file outputs. Use --output url to print only the URLs on stdout.

On this page