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volcengine-image-studio火山引擎图像工作室

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。

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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:volcengine-image-studio(火山引擎图像工作室)
来源仓库:https://github.com/jinhuadeng/volcengine-image-studio
安装命令:
openclaw skills install volcengine-image-studio
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。

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openclaw skills install volcengine-image-studio

简介

基于ARK兼容API打造的专业级图像生成与设计辅助工具集。

  • 支持海报创作、文本转图像及参考图片风格迁移等多种创意应用场景。
  • 可根据自然语言描述自动生成高质量视觉素材并导出多种分辨率版本。
  • 涉及人物肖像或品牌标识生成时须特别注意版权与肖像权合规审查。
  • 安装后可在OpenClaw中调用generate_image等接口发起创作请求。

SKILL.md

name
volcengine-image-studio
description
Practical image generation workflow for Volcengine/ARK-compatible APIs. Use when users need poster creation, text-to-image, reference-image generation, local image upload, multi-image runs, or automatic result downloads. 中文:适合火山引擎 / ARK 兼容接口的实战图片生成;适用于海报生成、文生图、参考图生图、本地图片上传、多图连续生成和结果自动下载。

volcengine-image-studio

Use this skill to actually generate images through a Volcengine/ARK-compatible image endpoint.

中文说明

这是一个面向 火山引擎 / ARK 兼容图片生成接口 的实战型 skill,不只是帮你写提示词,而是直接把图片生成跑起来。

适用场景包括:

  • 生成海报、宣传图、配图
  • 文生图
  • 单张或多张参考图生图
  • 直接使用本地图片作为输入
  • 一次生成多张结果图
  • 自动下载生成结果到本地

Default path

Run the bundled script:

python3 scripts/generate_image.py "<prompt>"

By default, URL results are auto-downloaded to Desktop. For multi-image runs, the script creates a new folder per run automatically and opens that folder in Finder.

Required config

The script reads config from env vars:

  • VOLCENGINE_API_KEY or ARK_API_KEY
  • VOLCENGINE_MODEL or ARK_MODEL
  • VOLCENGINE_ENDPOINT or ARK_BASE_URL

Supported modes

1. Text to image

python3 scripts/generate_image.py "极简科技海报,深色背景,蓝紫色霓虹光效,高级感"

2. One local reference image → one new image

python3 scripts/generate_image.py "生成狗狗趴在草地上的近景画面" \
  --image ~/Desktop/dog-reference.png \
  --sequential-image-generation disabled

3. One reference image URL → one new image

python3 scripts/generate_image.py "生成狗狗趴在草地上的近景画面" \
  --image "https://ark-project.tos-cn-beijing.volces.com/doc_image/seedream4_imageToimage.png" \
  --sequential-image-generation disabled

4. One reference image → multiple new images

python3 scripts/generate_image.py "参考这个LOGO,做一套户外运动品牌视觉设计,品牌名称为GREEN,包括包装袋、帽子、纸盒、手环、挂绳等。绿色视觉主色调,趣味、简约现代风格" \
  --image "https://ark-project.tos-cn-beijing.volces.com/doc_image/seedream4_imageToimages.png" \
  --sequential-image-generation auto \
  --sequential-max-images 5 \
  --stream true

5. Multiple reference images → multiple new images

python3 scripts/generate_image.py "生成3张女孩和奶牛玩偶在游乐园开心地坐过山车的图片,涵盖早晨、中午、晚上" \
  --image "https://ark-project.tos-cn-beijing.volces.com/doc_image/seedream4_imagesToimages_1.png" \
  --image "https://ark-project.tos-cn-beijing.volces.com/doc_image/seedream4_imagesToimages_2.png" \
  --sequential-image-generation auto \
  --sequential-max-images 3 \
  --stream true

You can also pass a local text file of URLs/paths:

python3 scripts/generate_image.py "根据参考图生成多张变体" --image-file ./refs.txt

Local image path support

  • --image ~/Desktop/ref.png → automatically converted to a data: URL with base64
  • --image https://... → sent as-is
  • --image data:image/png;base64,... → sent as-is

This lets you use local files directly without manually converting them.

Auto-download behavior

When the API returns image URLs, the script downloads them to Desktop by default.

Example download behavior:

  • Single image: ~/Desktop/1710000000-my-prompt-1.jpeg
  • Multi-image run: ~/Desktop/1710000000-my-prompt/1710000000-my-prompt-1.jpeg

Disable auto-download if needed:

python3 scripts/generate_image.py "极简科技海报" --download-results false

Custom download directory:

python3 scripts/generate_image.py "极简科技海报" --download-dir ~/Downloads/volcengine

Force a new folder even for single-image runs:

python3 scripts/generate_image.py "极简科技海报" --download-folder-per-run true

Disable per-run folders:

python3 scripts/generate_image.py "极简科技海报" --download-folder-per-run false

Disable auto-opening Finder:

python3 scripts/generate_image.py "极简科技海报" --open-download-folder false

Optional env vars

  • VOLCENGINE_IMAGE_SIZE (example: 2K)
  • VOLCENGINE_IMAGE_COUNT (default 1)
  • VOLCENGINE_IMAGE_QUALITY (default standard)
  • VOLCENGINE_RESPONSE_FORMAT (default url)
  • VOLCENGINE_SEQUENTIAL_IMAGE_GENERATION (disabled / auto)
  • VOLCENGINE_SEQUENTIAL_MAX_IMAGES (example: 3)
  • VOLCENGINE_STREAM (true / false)
  • VOLCENGINE_WATERMARK (true / false)
  • VOLCENGINE_OUTPUT_DIR (default generated-images)
  • VOLCENGINE_DOWNLOAD_RESULTS (default true)
  • VOLCENGINE_DOWNLOAD_DIR (default ~/Desktop)
  • VOLCENGINE_DOWNLOAD_FOLDER_PER_RUN (auto / true / false, default auto)
  • VOLCENGINE_OPEN_DOWNLOAD_FOLDER (auto / true / false, default auto)
  • VOLCENGINE_TIMEOUT (default 120)

Execution checklist

  1. Confirm prompt, target style, and whether reference images are needed.
  2. Add --image once for single-reference generation, or repeat it for multi-reference generation.
  3. For local images, pass the local path directly; the script converts it to base64 data URL automatically.
  4. For single-image-to-multi-image and multi-reference sequences, set --sequential-image-generation auto and --sequential-max-images <N>.
  5. Use --stream true when the API returns incremental image events.
  6. By default, returned image URLs are downloaded to Desktop; multi-image runs go into a new folder automatically.
  7. Mention the downloaded paths or folder path in the result.
  8. For multi-image runs, let Finder open the created folder unless the user disabled it.
  9. If it fails, surface the exact HTTP error or missing field.

Release positioning

Compared with an earlier bare-bones generation flow, this version is packaged around the logic that proved usable in practice:

  • supports Volcengine / ARK-compatible endpoint patterns
  • supports reference-image workflows, including local files
  • supports sequential multi-image generation
  • supports automatic result download and run-based folder grouping
  • better fits poster and commercial visual production

Troubleshooting

  • Missing key → set VOLCENGINE_API_KEY
  • Missing model → set VOLCENGINE_MODEL
  • Missing endpoint → set VOLCENGINE_ENDPOINT
  • Local file not found → check the --image path
  • 401/403 → key invalid or lacks permission
  • 404/405 → endpoint wrong
  • 400 → model/size/request body incompatible with the target API
  • No returned files/URLs → inspect raw in the JSON output

References

  • references/sources.md

found → check the --image path

  • 401/403 → key invalid or lacks permission
  • 404/405 → endpoint wrong
  • 400 → model/size/request body incompatible with the target API
  • No returned files/URLs → inspect raw in the JSON output

References

  • references/sources.md

inspect raw in the JSON output

References

  • references/sources.md

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

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可疑

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通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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