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jimeng-generator

即梦 4.0 图片生成器,通过文本描述生成高质量图片,支持多图编辑与智能比例。

Why use this skill?

Automate high-quality image generation and editing using the Jimeng 4.0 engine. Generate 4K visuals, process multi-image inputs, and manage files locally.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/felixhsp/jimeng-generator
Or

What This Skill Does

The jimeng-generator is a powerful AI agent skill designed for OpenClaw that leverages Volcano Engine's Jimeng 4.0 technology to generate high-quality images from text prompts. It serves as an end-to-end automation tool that handles the entire image lifecycle: submitting generation tasks, polling for completion, and automatically saving high-resolution files locally. Whether you are generating artistic landscapes, product designs, or editing existing photos, this tool offers professional-grade control over dimensions, aspect ratios, and image-to-image influences.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/felixhsp/jimeng-generator

Post-installation, you must authenticate with the Volcano Engine console. Create a .env file in your project root and input your VOLCENGINE_AK and VOLCENGINE_SK. If using temporary credentials, swap the secret key for VOLCENGINE_TOKEN as defined in the project documentation. Ensure your environment dependencies are installed via npm install.

Use Cases

  • Creative Content Generation: Quickly produce stunning, high-definition concept art or stock imagery for social media and marketing.
  • Image Editing & Manipulation: Use the --images flag to feed reference photos into the model, allowing for style transfers, background replacements, or modifications to existing compositions.
  • Batch Workflow Integration: Automate recurring image asset creation by piping prompt strings through the CLI tool, saving directly into organized local directories for downstream processing.
  • Multi-Photo Synthesis: Merge multiple input references into a single, cohesive composition using the tool's advanced referencing capabilities.

Example Prompts

  1. "Generate a 4K resolution cinematic portrait of a futuristic cyberpunk traveler in a neon-lit rain-slicked city."
  2. "Take this uploaded reference photo and transform the background into a tranquil, mist-covered mountain landscape in ink-wash painting style."
  3. "Synthesize an architectural concept image with a 16:9 aspect ratio using these two reference sketches to create a modern eco-friendly office building."

Tips & Limitations

  • Local Path Handling: The skill outputs a JSON object containing local file paths in the files array. Ensure your OpenClaw setup has write permissions to the ./output/ directory.
  • Parameter Tuning: Use the --scale parameter to control how strictly the model follows your textual prompt versus the provided image references. A higher value increases prompt adherence.
  • Performance: While the tool supports 4K rendering, higher resolutions and multiple reference images may increase the polling wait time. Always monitor the taskId if tasks hang beyond the 180,000ms default timeout.
  • Compatibility: This skill is strictly designed for Volcano Engine's Jimeng API; ensure your account quotas are active to avoid request failures.

Metadata

Author@felixhsp
Stars2387
Views1
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-felixhsp-jimeng-generator": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#ai-generation#image-processing#volcano-engine#automation#design-tools
Safety Score: 4/5

Flags: network-access, file-write, external-api