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dlazy-gpt-image-2懒惰的 gpt 图像 2

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

8,850

周安装

358

GitHub Stars

公开资料未说明

下载量

2,778
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:dlazy-gpt-image-2(懒惰的 gpt 图像 2)
来源仓库:https://github.com/dlazyai/dlazy-gpt-image-2
安装命令:
openclaw skills install dlazy-gpt-image-2
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install dlazy-gpt-image-2

简介

用于文本到图像生成与图像编辑任务。dlazy-gpt-image-2 属于图像处理类 Skill,可作为该场景下的辅助能力补充。

  • 支持参考输入进行图像合成与背景处理。
  • 适合产品图片与人物抠图等视觉素材处理。
  • 需确认输入图片版权与输出格式限制。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 涉及公开展示素材时应核对授权与合规性。

SKILL.md

name
dlazy-gpt-image-2
version
1.1.0
description
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. GPT Image 2 图像生成与编辑模型。支持文生图,以及通过提供参考图进行图像编辑和合成。
metadata
{"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli@1.0.9","installAlternative":"npx @dlazy/cli@1.0.9","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 invoking this skill, use dlazy gpt-image-2 -h for help."}}

dlazy-gpt-image-2

English · 中文

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. GPT Image 2 图像生成与编辑模型。支持文生图,以及通过提供参考图进行图像编辑和合成。

Trigger Keywords

  • gpt-image-2

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/cli@1.0.9 <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@1.0.9). 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 gpt-image-2 to get the result.

dlazy gpt-image-2 -h

Options:
  --prompt [prompt]                    Prompt
  --images [images...]                 Images [image: url or local path] (max 5)
  --size [size]                        Size [default: auto] (choices: "1024x1024", "1536x1024", "1024x1536", "2048x2048", "2048x1152", "3840x2160", "2160x3840", "auto")
  --format [format]                    Format [default: jpeg] (choices: "jpeg", "png", "webp")
  --quality [quality]                  Quality [default: medium] (choices: "low", "medium", "high")
  --dry-run                            Print payload + cost estimate without calling API
  --no-wait                            Return generateId immediately for async tasks
  --timeout <seconds>                  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": "gpt-image-2",
    "modelId": "gpt-image-2",
    "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 <generateId> --wait to poll.

Examples

dlazy gpt-image-2 --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 <prompt>' not specified
502Local file read errorError: Image file/Video file not found: C:\path\ o\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 <key> and resume the task.

Tips

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

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.45%
按下载量换算2,318

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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