image-replicate

Image replicate tool: analyzes the source's composition, color, lighting, and style, then uses Seedream 4.5 to generate a new image in the same style.

Overview

Field	Value
Model ID	`image-replicate`
CLI	`dlazy image-replicate`
MCP	`image-replicate` (Claude Code surfaces this as `mcp__dlazy__image-replicate`)
Type	`image`
Execution	Async task; the CLI polls until completion (`--no-wait` returns `generateId` immediately)
Batch	Supports `--batch <n>` parallel fan-out

Parameters

Arg	Type	Required	Notes
`images`	array<url>	Yes	Images; image (accepts URL, local path, or data: URL)

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

CLI Examples

dlazy image-replicate --help
dlazy image-replicate --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg"
dlazy image-replicate --images "./local-image.png"
dlazy image-replicate --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --dry-run
dlazy image-replicate --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --no-wait
dlazy image-replicate --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 image-replicate --images -

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__image-replicate; generic clients (e.g. OpenClaw) call it as image-replicate.

See MCP setup for how to add the server.

Output

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

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