Install
openclaw skills install dlazy-image-generateImage generation skill. Automatically selects the best dlazy CLI image model based on the prompt.
openclaw skills install dlazy-image-generateImage generation skill. Automatically selects the best dlazy CLI image model based on the prompt.
All requests require a dLazy API key. The recommended way to authenticate is:
This runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.
### Alternative: Set the Key Manually
If you already have an API key, you can save it directly:
```bash
dlazy auth set YOUR_API_KEY
The CLI saves the key in your user config directory (~/.dlazy/config.json on macOS/Linux, %USERPROFILE%\.dlazy\config.json on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the DLAZY_API_KEY environment variable.
Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.
@dlazy/cli (pinned to 1.0.9 in this skill's install spec)You can install on demand without persisting a global binary by running:
npx @dlazy/cli@latest <command>
Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/cli@latest). Review the GitHub source before installing.
This skill is a thin client over the dLazy hosted API. When you invoke it:
api.dlazy.com) for inference.files.dlazy.com) so the model can read them — the same flow as any cloud-based generation API.files.dlazy.com.This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See dlazy.com for the full service terms.
Every dlazy invocation prints a JSON envelope on stdout. Any flag value can be a pipe reference that pulls from the upstream command's envelope, so you can chain steps without copying URLs by hand.
| Reference | Resolves to |
|---|---|
- | Upstream's natural value for this field (scalar or array) |
@N | The N-th output's primary value (e.g. @0 = first output url) |
@N.<jsonpath> | Drill into the N-th output (@0.url, @1.meta.fps) |
@* | All outputs' primary values as an array |
@stdin | The whole upstream JSON envelope |
@stdin:<jsonpath> | Jsonpath into the whole envelope (@stdin:result.outputs[0].url) |
# Generate an image and feed its url straight into image-to-video
dlazy seedream-4.5 --prompt "a red fox in snow" \
| dlazy kling-v3 --image - --prompt "fox starts running"
# Generate an image, then add TTS narration over a still
dlazy seedream-4.5 --prompt "lighthouse at dawn" \
| dlazy keling-tts --text "Welcome to the coast." --image @0.url
# Fan-out: pass every upstream output url into a batch step
dlazy seedream-4.5 --prompt "city skyline" --n 4 \
| dlazy superres --images @*
Required flags can be entirely sourced from the pipe —
--field -satisfies the requirement when an upstream value exists. If stdin is empty, the CLI fails withcode: "no_stdin".
This skill handles all image generation requests by selecting the best dlazy image model.
dlazy banana-pro: High-quality text-to-image model (optional 1 reference image). Good for detailed key visuals, product shots, and brand-style imagery.dlazy banana2: General text-to-image model (optional 1 reference image), prioritizing speed and cost. Good for quick drafts, social posts, and multi-ratio generation.dlazy gpt-image-2: GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs.dlazy grok-4.2: Minimalist text-to-image model, prompt-only. Good for quick concept validation or undemanding instant generation.dlazy 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.dlazy imageseg: Image matting tool: separates foreground and returns a transparent-background URL. Good for product images, cutouts, and compositing.dlazy 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.dlazy 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.dlazy mj-imagine: Midjourney style generation, supports aspect ratio, Bot type, and output position (grid/U1-U4). Suitable for artistic and strongly stylized creative generation.dlazy 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.dlazy recraft-v4: 1MP raster image generation with refined design judgment. Suitable for everyday creative work and fast iteration.dlazy recraft-v4-pro: 4MP high-resolution raster image generation. Suitable for print-ready assets and large-scale use.dlazy recraft-v4-pro-vector: High-fidelity text-to-vector model, 4MP-tier quality. Good for production SVG assets and detailed illustrations.dlazy recraft-v4-vector: Text-to-vector model that outputs SVG results. Suitable for logos, icons, and scalable design assets.dlazy seedream-4.5: High-quality text-to-image/image-to-image model, suitable for posters, realism, and creative scenes. Supports prompt + multiple reference images, outputting single high-res images (2K/4K).dlazy seedream-5.0-lite: Lightweight high-speed image generation model, suitable for batch generation, sketches, and low-cost iteration. Supports prompt + reference images, outputting 2K/3K images.dlazy superres: Image super-resolution tool: enhances image clarity and details, returning enhanced URL, suitable for low-res asset restoration and upscaling.dlazy viduq2-t2i: Vidu image model with text + reference image, ratio, and resolution control. Good for character art, covers, and high-res output.CRITICAL INSTRUCTION FOR AGENT:
dlazy <model_name> -h to check parameters.| Code | Error Type | Example Message |
|---|---|---|
| 401 | Unauthorized (No API Key) | ok: false, code: "unauthorized", message: "API key is missing or invalid" |
| 501 | Missing required parameter | error: required option '--prompt <prompt>' not specified |
| 502 | Local file read error | Error: Image file/Video file not found: C:\path\to\your\file |
| 503 | API request failed (no balance) | ok: false, code: "insufficient_balance" |
| 503 | API request failed (server error) | HTTP status code error (500 server crash) |
| 504 | Asynchronous task execution failed | === Generation Failed === / {Specific error reason returned by backend, for example "Prompt violates safety policy"} |
AGENT CRITICAL INSTRUCTION:
- If the execution result returns
code: "insufficient_balance", you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: https://dlazy.com/dashboard/organization/settings?tab=credits- If the execution result returns
code: "unauthorized"or indicates missing API key, you MUST inform the user to get their API key from https://dlazy.com/dashboard/organization/api-key and save it usingdlazy auth set <key>and resume the task.
Visit https://dlazy.com for more information.