jimeng-t2i
Jimeng high-res text-to-image model with multi-ratio ultra-HD output and reference-image constraints. Good for commercial visuals and refined output.
Jimeng high-res text-to-image model with multi-ratio ultra-HD output and reference-image constraints. Good for commercial visuals and refined output.
Overview
| Field | Value |
|---|---|
| Model ID | jimeng-t2i-v40 |
| CLI | dlazy jimeng-t2i |
| MCP | jimeng-t2i (Claude Code surfaces this as mcp__dlazy__jimeng-t2i) |
| 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 |
|---|---|---|---|
prompt | string | Yes | Prompt |
images | array<url> | No | Images; image (accepts URL, local path, or data: URL); max 10 items |
size | "10241024" | "20482048" | "23041728" | "24961664" | "25601440" | "30241296" | "17282304" | "16642496" | "14402560" | "12963024" | "40964096" | "46943520" | "49923328" | "54043040" | "61982656" | "35204694" | "33284992" | "30405404" | "2656*6198" | No | Size; default "1440*2560" |
--input @file.jsonor--input '{...}'can supply all args at once; flags take precedence over--inputkeys.
CLI Examples
dlazy jimeng-t2i --help
dlazy jimeng-t2i --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg"
dlazy jimeng-t2i --prompt "Write your prompt here" --images "./local-image.png"
dlazy jimeng-t2i --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --dry-run
dlazy jimeng-t2i --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --no-wait
dlazy jimeng-t2i --prompt "Write your prompt here" --images "https://example.com/reference1.jpg" "https://example.com/reference2.jpg" --batch 4Compose with a pipeline
dlazy gpt-image-2 --prompt "reference visual" \
| dlazy jimeng-t2i --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__jimeng-t2i; generic clients (e.g. OpenClaw) call it as jimeng-t2i.
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.
imageseg
Image matting tool: separates foreground and returns a transparent-background URL. Good for product images, cutouts, and compositing.
kling-image-o1
Kling image model, supports '<image_1>' placeholder in prompt for reference image binding. Suitable for multi-image constraints and high-fidelity generation.