dLazy AIdLazy AI
Model ReferenceImage Models

qwen-image-2-pro

Alibaba Bailian qwen-image-2.0-pro general image generation. Excels at complex text rendering, multi-line layout, photorealistic detail, and strong semantic adherence — great for mixed text/image designs.

Alibaba Bailian qwen-image-2.0-pro general image generation. Excels at complex text rendering, multi-line layout, photorealistic detail, and strong semantic adherence — great for mixed text/image designs.

Overview

FieldValue
Model IDqwen-image-2-pro
CLIdlazy qwen-image-2-pro
MCPqwen-image-2-pro (Claude Code surfaces this as mcp__dlazy__qwen-image-2-pro)
Typeimage
ExecutionAsync task; the CLI polls until completion (--no-wait returns generateId immediately)
BatchSupports --batch <n> parallel fan-out

Parameters

ArgTypeRequiredNotes
promptstringYesPrompt
imagesarray<url>NoImages; image (accepts URL, local path, or data: URL); max 3 items
negative_promptstringNoNegative Prompt (describe what you don't want in the image); default ""
size"26881536" | "15362688" | "20482048" | "23681728" | "1728*2368"NoSize; default "2048*2048"
prompt_extendstringNoPrompt Rewrite; default true

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

CLI Examples

dlazy qwen-image-2-pro --help
dlazy qwen-image-2-pro --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg"
dlazy qwen-image-2-pro --prompt "Write your prompt here" --images "./local-image.png"
dlazy qwen-image-2-pro --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --dry-run
dlazy qwen-image-2-pro --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --no-wait
dlazy qwen-image-2-pro --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 qwen-image-2-pro --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__qwen-image-2-pro; generic clients (e.g. OpenClaw) call it as qwen-image-2-pro.

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.

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