dlazy-image-generate

name	dlazy-image-generate
version	1.3.0
description	Image generation skill. Automatically selects the best dlazy CLI image model based on the prompt. 图片生成技能。根据提示词自动选择最佳的 dlazy CLI 图片生成模型。
metadata	{"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli@latest","installAlternative":"npx @dlazy/cli@latest","homepage":"https://github.com/dlazyai/cli","source":"https://github.com/dlazyai/cli","author":"dlazyai","license":"see-repo","npm":"https://www.npmjs.com/package/@dlazy/cli","configLocation":"~/.dlazy/config.json","apiEndpoints":["api.dlazy.com","files.dlazy.com"]},"openclaw":{"systemPrompt":"When this skill is called, use dlazy <subcommand>."}}

dlazy-image-generate

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Image generation skill. Automatically selects the best dlazy CLI image model based on the prompt.

Trigger Keywords

• generate image
• draw picture
• text to image

Authentication

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.

Getting Your API Key Manually

1. Sign in or create an account at dlazy.com
2. Go to dlazy.com/dashboard/organization/api-key
3. Copy the key shown in the API Key section

Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.

About & Provenance

• CLI source code: github.com/dlazyai/cli
• Maintainer: dlazyai
• npm package: @dlazy/cli (pinned to 1.0.9 in this skill's install spec)
• Homepage: dlazy.com

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.

How It Works

This skill is a thin client over the dLazy hosted API. When you invoke it:

• Prompts and parameters you provide are sent to the dLazy API endpoint (api.dlazy.com) for inference.
• Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (files.dlazy.com) so the model can read them — the same flow as any cloud-based generation API.
• Generated output URLs returned by the API are hosted on 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.

Piping Between Commands

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)

Examples

# 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 with code: "no_stdin".

Usage

This skill handles all image generation requests by selecting the best dlazy image model.

Available Image Models

• 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:

1. Select the most appropriate image model.
2. Run dlazy <model_name> -h to check parameters.
3. Execute the command.

Error Handling

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:

1. 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
2. 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 using dlazy auth set <key> and resume the task.

Tips

Visit https://dlazy.com for more information.