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Baoyu Image Gen
作者
Jim Liu 宝玉
· GitHub ↗
· v2.1.0
· MIT-0
4168
总下载
1
收藏
92
当前安装
4
版本数
在 OpenClaw 中安装
/install baoyu-image-gen
功能描述
AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs...
安全使用建议
Install only if you are comfortable with external image providers receiving your prompts and reference images. Avoid the `codex-cli` provider unless you intentionally want to use your logged-in Codex session and accept that it runs a full-access local Codex subprocess; prefer direct API providers when possible, avoid sensitive local reference images, and do not set wrapper/base-url override environment variables unless you fully trust the target.
能力评估
Purpose & Capability
Most provider API calls, credential use, reference-image uploads, and local output writes are coherent with an image-generation skill. The material exception is the codex-cli provider, which invokes `codex exec --sandbox danger-full-access`, creating a high-impact local agent path for a media-generation task.
Instruction Scope
The skill discloses that codex-cli is explicitly selected and not auto-selected, and its wrapper instructs Codex to use only image generation. However, arbitrary user prompt text is still passed into a full-access agent subprocess, so the practical authority is broader than the stated image-only workflow.
Install Mechanism
No hidden install-time execution was found. The skill requires `bun` or `npx`, API keys or Codex login depending on provider, and documents a `BAOYU_CODEX_IMAGEGEN_BIN` override that can execute a user-specified wrapper path.
Credentials
Network calls to image providers and sending prompts/reference images are expected for this purpose, but full local Codex execution and unvalidated provider-returned image downloads are higher-risk than direct scoped API calls.
Persistence & Privilege
The skill writes outputs and configuration as expected, but the Codex path uses the user's logged-in Codex session, writes prompt-related temporary files, and always persists raw Codex stdout/stderr logs under a temp directory; optional cache and diagnostic logs add more retained local data.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install baoyu-image-gen - 安装完成后，直接呼叫该 Skill 的名称或使用
/baoyu-image-gen触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v2.1.0
baoyu-image-gen 2.1.0
- Added support for new image providers: Codex CLI and Agnes (see new references and scripts).
- Expanded provider options to include `codex-cli` and `agnes`; `codex-cli` requires explicit selection.
- Introduced batch file building script (`scripts/build-batch.ts`) for advanced batch generation workflows.
- Additional references and documentation covering new providers and usage examples.
- Internal refactoring: new subdirectory under `scripts/codex-imagegen/` for modular CLI glue (cache, logger, parser, validator).
- Minor improvements to configuration, documentation, and extensibility.
v2.0.0
v2.0.0: rename baoyu-imagine→baoyu-image-gen and baoyu-image-cards→baoyu-xhs-images; cross-skill image-backend examples updated
v1.56.4
**[Major update, multiple new providers and batch mode]**
- Added support for new providers: Azure OpenAI, OpenRouter, Z.AI GLM-Image, MiniMax, Jimeng (即梦), Seedream (豆包).
- Introduced batch mode: generate multiple images using a batch JSON file (`--batchfile`), with adjustable concurrency (`--jobs`).
- Expanded configuration and environment variable options for new providers and flexible per-provider model/endpoint overrides.
- Updated reference-image identity preservation guidelines and safeguards, with improved prompt handling for real subjects.
- Enhanced provider auto-selection, fallback, and error handling logic; clarified user input tool usage and setup sequence.
- SKILL.md updated with in-depth setup, usage, and migration notes; now marked as [Deprecated: use baoyu-imagine].
v1.0.0
Initial release of baoyu-image-gen: a multi-provider API-based image generation tool.
- Supports image generation via OpenAI, Google, DashScope, and Replicate APIs.
- Allows text prompts, reference images, aspect ratios, image size, and quality presets.
- Provider, model, and defaults configurable via CLI flags, EXTEND.md, and environment variables.
- Ensures a blocking setup with EXTEND.md before image generation; guides first-time configuration.
- Sequential generation is default; parallel mode available upon explicit user request.
- Robust error handling with user setup hints and auto-retries for failed generations.
元数据
常见问题
Baoyu Image Gen 是什么？
AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 4168 次。
如何安装 Baoyu Image Gen？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install baoyu-image-gen」即可一键安装，无需额外配置。
Baoyu Image Gen 是免费的吗？
是的，Baoyu Image Gen 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Baoyu Image Gen 支持哪些平台？
Baoyu Image Gen 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Baoyu Image Gen？
由 Jim Liu 宝玉（@jimliu）开发并维护，当前版本 v2.1.0。
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