Design & media

图片抠图 Image Segmentation

Remove image backgrounds via CLI; returns a transparent PNG URL from local files or image URLs.

What it does

Wraps the `dlazy imageseg` command to separate foreground from background in an image and returns a PNG URL hosted on dLazy's media storage. Input can be a remote image URL or a local file path, and an async mode is available via `--no-wait`. A dLazy API key is required and can be configured through `dlazy login`, `dlazy auth set YOUR_API_KEY`, or the `DLAZY_API_KEY` environment variable.

When to use it

  • Cut product photos for an e-commerce listing
  • Isolate a person from a photo for compositing
  • Process a remote image URL from a script
  • Preview payload and cost with --dry-run

The skill document

图片抠图 Image Segmentation

English · 中文

Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.

Trigger Keywords

  • imageseg

Authentication

All requests require a dLazy API key. The recommended way to authenticate is:

dlazy login

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:

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

You can install on demand without persisting a global binary by running:

npx @dlazy/[email protected] 

Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/[email protected]). 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.

Usage

CRITICAL INSTRUCTION FOR AGENT: Execute dlazy imageseg to get the result.

dlazy imageseg -h

Options:
  --image [image]                      Image (URL) [image: url or local path]
  --dry-run                            Print payload + cost estimate without calling API
  --no-wait                            Return generateId immediately for async tasks
  --timeout                   Max seconds to wait for async completion (default: "1800")
  -h, --help                           display help for command

Any flag also accepts pipe references — - (auto-pick from upstream stdin), @N (n-th output), @N.path (jsonpath into output), @* (all primary values), @stdin / @stdin:path (whole envelope). See dlazy --help for details.

Output Format

{
  "ok": true,
  "result": {
    "tool": "imageseg",
    "modelId": "imageseg",
    "outputs": [
      {
        "type": "image",
        "id": "o_xxxxxxxx",
        "url": "https://files.dlazy.com/result.png",
        "mimeType": "image/png"
      }
    ]
  }
}

Async tasks (when --no-wait is passed) return outputs: [] and a task: { generateId, status } field instead. Use dlazy status --wait to poll.

Examples

dlazy imageseg --prompt 'prompt content'

Error Handling

CodeError TypeExample Message
401Unauthorized (No API Key)ok: false, code: "unauthorized", message: "API key is missing or invalid"
501Missing required parametererror: required option '--prompt ' not specified
502Local file read errorError: Image file/Video file not found: C:\path\to\your\file
503API request failed (no balance)ok: false, code: "insufficient_balance"
503API request failed (server error)HTTP status code error (500 server crash)
504Asynchronous 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 and resume the task.

Tips

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

Questions people ask

How do I authenticate?
Run `dlazy login` for a device-code flow that writes the key to your local CLI config, or save one directly with `dlazy auth set YOUR_API_KEY`. The `DLAZY_API_KEY` environment variable also works for single invocations.
What does the output look like?
The command returns a JSON envelope whose `outputs[].url` points to a PNG on `files.dlazy.com`. With `--no-wait`, `outputs` is empty and a `task.generateId` is returned for polling via `dlazy status --wait`.
What happens if the API key is missing or credits run out?
An `unauthorized` code means the key is missing or invalid and must be set from the dLazy dashboard. An `insufficient_balance` code means credits need to be recharged at the organization credits page before retrying.

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