dLazy AIdLazy AI
Model ReferenceVideo Models

seedance-2.5

ByteDance's next-generation video model: up to 30 seconds per clip with native 4K, substantially better instruction following and long-form narrative. Supports multi-modal references (image + video + audio) and first/last frame control.

ByteDance's next-generation video model: up to 30 seconds per clip with native 4K, substantially better instruction following and long-form narrative. Supports multi-modal references (image + video + audio) and first/last frame control.

Overview

FieldValue
Model IDdoubao-seedance-2-5
CLIdlazy seedance-2.5
MCPseedance-2.5 (Claude Code surfaces this as mcp__dlazy__seedance-2.5)
Typevideo
ExecutionAsync task; the CLI polls until completion (--no-wait returns generateId immediately)
BatchSupports --batch <n> parallel fan-out

Parameters

ArgTypeRequiredNotes
promptstringNoPrompt
generation_mode"components" | "frames"NoGeneration Mode(components=Components; frames=Frames); default "components"
imagesarray<url>NoImages; image (accepts URL, local path, or data: URL); max 20 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")
audiosarray<url>NoAudios; audio (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"
resolution"480p" | "720p" | "1080p" | "2160p"NoResolution; default "720p"
ratio"21:9" | "16:9" | "4:3" | "1:1" | "3:4" | "9:16"NoAspect Ratio; default "16:9"
duration"4" | … | "15" | "20" | "25" | "30"NoDuration (s); default "5"
generate_audiostringNoGenerate Audio; default true

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

CLI Examples

dlazy seedance-2.5 --help
dlazy seedance-2.5 --prompt "Write your prompt here" --generation_mode "components" --images "https://example.com/reference1.jpg"
dlazy seedance-2.5 --prompt "Write your prompt here" --generation_mode "components" --images "https://example.com/reference1.jpg" --dry-run
dlazy seedance-2.5 --prompt "Write your prompt here" --generation_mode "components" --images "https://example.com/reference1.jpg" --no-wait
dlazy seedance-2.5 --prompt "Write your prompt here" --generation_mode "components" --images "https://example.com/reference1.jpg" --batch 4

Compose with a pipeline

dlazy gpt-image-2 --prompt "reference visual" \
  | dlazy seedance-2.5 --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__seedance-2.5; generic clients (e.g. OpenClaw) call it as seedance-2.5.

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.

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