dLazy AIdLazy AI
Model ReferenceVideo Models

viduq2-i2v

Vidu image-to-video model, supports reference image-driven video, duration/resolution/ratio, and audio settings, suitable for image animation and short clips.

Vidu image-to-video model, supports reference image-driven video, duration/resolution/ratio, and audio settings, suitable for image animation and short clips.

Overview

FieldValue
Model IDvidu-i2v-viduq2
CLIdlazy viduq2-i2v
MCPviduq2-i2v (Claude Code surfaces this as mcp__dlazy__viduq2-i2v)
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 10 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"
subjectsarray<string>NoSubjects; max 7 items; only when !(generation_mode="frames")
audio"true" | "false"NoAudio; default "false"
audioType"all" | "speech_only"NoAudio Type; default "all"; only when !(generation_mode="frames")
duration"2" | "3" | "4" | "5" | "6" | "7" | "8" | "9" | "10"NoDuration (s); default "5"
aspectRatio"16:9" | "9:16" | "1:1" | "3:4" | "4:3" | "21:9" | "2:3" | "3:2"NoAspect Ratio; default "9:16"
resolution"540p" | "720p" | "1080p"NoResolution; default "720p"

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

CLI Examples

dlazy viduq2-i2v --help
dlazy viduq2-i2v --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg"
dlazy viduq2-i2v --prompt "Write your prompt here" --images "./local-image.png"
dlazy viduq2-i2v --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --dry-run
dlazy viduq2-i2v --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --no-wait
dlazy viduq2-i2v --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 viduq2-i2v --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__viduq2-i2v; generic clients (e.g. OpenClaw) call it as viduq2-i2v.

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