--- id: daily-baoyu-imagine name: "baoyu-imagine" url: https://skills.yangsir.net/skill/daily-baoyu-imagine author: jimliu domain: multimedia tags: ["image-generation", "generative-ai", "api-integration"] install_count: 8900 rating: 4.50 (20 reviews) github: https://github.com/jimliu/baoyu-skills --- # baoyu-imagine > 整合 OpenAI、通义万象、即梦等多家 AI 图像生成 API，通过统一接口快速实现文本到图像的转换 **Stats**: 8,900 installs · 4.5/5 (20 reviews) ## Before / After 对比 ### 多平台图像生成 **Before**: 需要分别注册和配置多个图像生成服务的账号，学习各自的 API 文档，编写不同的调用代码，调试参数格式，一个项目需要 2-3 天才能对接完成 **After**: 统一接口调用 8 家主流图像生成服务，一次配置即可切换不同提供商，输入提示词自动生成高质量图像，30 分钟完成多平台对比测试 | Metric | Before | After | Change | |---|---|---|---| | 对接时间 | 3天 | 0.5天 | -83% | ## Readme # baoyu-imagine # Image Generation (AI SDK) Official API-based image generation. Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), MiniMax, Jimeng (即梦), Seedream (豆包) and Replicate providers. ## Script Directory **Agent Execution**: - `{baseDir}` = this SKILL.md file's directory - Script path = `{baseDir}/scripts/main.ts` - Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun ## Step 0: Load Preferences ⛔ BLOCKING **CRITICAL**: This step MUST complete BEFORE any image generation. Do NOT skip or defer. Check EXTEND.md existence (priority: project → user): ``` # macOS, Linux, WSL, Git Bash test -f .baoyu-skills/baoyu-imagine/EXTEND.md && echo "project" test -f "${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-imagine/EXTEND.md" && echo "xdg" test -f "$HOME/.baoyu-skills/baoyu-imagine/EXTEND.md" && echo "user" ``` ``` # PowerShell (Windows) if (Test-Path .baoyu-skills/baoyu-imagine/EXTEND.md) { "project" } $xdg = if ($env:XDG_CONFIG_HOME) { $env:XDG_CONFIG_HOME } else { "$HOME/.config" } if (Test-Path "$xdg/baoyu-skills/baoyu-imagine/EXTEND.md") { "xdg" } if (Test-Path "$HOME/.baoyu-skills/baoyu-imagine/EXTEND.md") { "user" } ``` Result Action Found Load, parse, apply settings. If `default_model.[provider]` is null → ask model only (Flow 2) Not found ⛔ Run first-time setup ([references/config/first-time-setup.md](https://github.com/jimliu/baoyu-skills/blob/HEAD/skills/baoyu-imagine/references/config/first-time-setup.md)) → Save EXTEND.md → Then continue **CRITICAL**: If not found, complete the full setup (provider + model + quality + save location) using AskUserQuestion BEFORE generating any images. Generation is BLOCKED until EXTEND.md is created. Path Location `.baoyu-skills/baoyu-imagine/EXTEND.md` Project directory `$HOME/.baoyu-skills/baoyu-imagine/EXTEND.md` User home Legacy compatibility: if `.baoyu-skills/baoyu-image-gen/EXTEND.md` exists and the new path does not, runtime renames it to `baoyu-imagine`. If both files exist, runtime leaves them unchanged and uses the new path. **EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | Default models | Batch worker cap | Provider-specific batch limits Schema: `references/config/preferences-schema.md` ## Usage ``` # Basic ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image cat.png # With aspect ratio ${BUN_X} {baseDir}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9 # High quality ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k # From prompt files ${BUN_X} {baseDir}/scripts/main.ts --promptfiles system.md content.md --image out.png # With reference images (Google, OpenAI, Azure OpenAI, OpenRouter, Replicate, MiniMax, or Seedream 4.0/4.5/5.0) ${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png # With reference images (explicit provider/model) ${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png # Azure OpenAI (model means deployment name) ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider azure --model gpt-image-1.5 # OpenRouter (recommended default model) ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openrouter # OpenRouter with reference images ${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --provider openrouter --model google/gemini-3.1-flash-image-preview --ref source.png # Specific provider ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openai # DashScope (阿里通义万象) ${BUN_X} {baseDir}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope # DashScope Qwen-Image 2.0 Pro (recommended for custom sizes and text rendering) ${BUN_X} {baseDir}/scripts/main.ts --prompt "为咖啡品牌设计一张 21:9 横幅海报，包含清晰中文标题" --image out.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872 # DashScope legacy Qwen fixed-size model ${BUN_X} {baseDir}/scripts/main.ts --prompt "一张电影感海报" --image out.png --provider dashscope --model qwen-image-max --size 1664x928 # MiniMax ${BUN_X} {baseDir}/scripts/main.ts --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax # MiniMax with subject reference (best for character/portrait consistency) ${BUN_X} {baseDir}/scripts/main.ts --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9 # MiniMax with custom size (documented for image-01) ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cinematic poster" --image out.jpg --provider minimax --model image-01 --size 1536x1024 # Replicate (google/nano-banana-pro) ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate # Replicate with specific model ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana # Batch mode with saved prompt files ${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json # Batch mode with explicit worker count ${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json --jobs 4 --json ``` ### Batch File Format ``` { "jobs": 4, "tasks": [ { "id": "hero", "promptFiles": ["prompts/hero.md"], "image": "out/hero.png", "provider": "replicate", "model": "google/nano-banana-pro", "ar": "16:9", "quality": "2k" }, { "id": "diagram", "promptFiles": ["prompts/diagram.md"], "image": "out/diagram.png", "ref": ["references/original.png"] } ] } ``` Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch file's directory. `jobs` is optional (overridden by CLI `--jobs`). Top-level array format (without `jobs` wrapper) is also accepted. ## Options Option Description `--prompt `, `-p` Prompt text `--promptfiles ` Read prompt from files (concatenated) `--image ` Output image path (required in single-image mode) `--batchfile ` JSON batch file for multi-image generation `--jobs ` Worker count for batch mode (default: auto, max from config, built-in default 10) `--provider google|openai|azure|openrouter|dashscope|minimax|jimeng|seedream|replicate` Force provider (default: auto-detect) `--model `, `-m` Model ID (Google: `gemini-3-pro-image-preview`; OpenAI: `gpt-image-1.5`; Azure: deployment name such as `gpt-image-1.5` or `image-prod`; OpenRouter: `google/gemini-3.1-flash-image-preview`; DashScope: `qwen-image-2.0-pro`; MiniMax: `image-01`) `--ar ` Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) `--size ` Size (e.g., `1024x1024`) `--quality normal|2k` Quality preset (default: `2k`) `--imageSize 1K|2K|4K` Image size for Google/OpenRouter (default: from quality) `--ref ` Reference images. Supported by Google multimodal, OpenAI GPT Image edits, Azure OpenAI edits (PNG/JPG only), OpenRouter multimodal models, Replicate, MiniMax subject-reference, and Seedream 5.0/4.5/4.0. Not supported by Jimeng, Seedream 3.0, or removed SeedEdit 3.0 `--n ` Number of images `--json` JSON output ## Environment Variables Variable Description `OPENAI_API_KEY` OpenAI API key `AZURE_OPENAI_API_KEY` Azure OpenAI API key `OPENROUTER_API_KEY` OpenRouter API key `GOOGLE_API_KEY` Google API key `DASHSCOPE_API_KEY` DashScope API key (阿里云) `MINIMAX_API_KEY` MiniMax API key `REPLICATE_API_TOKEN` Replicate API token `JIMENG_ACCESS_KEY_ID` Jimeng (即梦) Volcengine access key `JIMENG_SECRET_ACCESS_KEY` Jimeng (即梦) Volcengine secret key `ARK_API_KEY` Seedream (豆包) Volcengine ARK API key `OPENAI_IMAGE_MODEL` OpenAI model override `AZURE_OPENAI_DEPLOYMENT` Azure default deployment name `AZURE_OPENAI_IMAGE_MODEL` Backward-compatible alias for Azure default deployment/model name `OPENROUTER_IMAGE_MODEL` OpenRouter model override (default: `google/gemini-3.1-flash-image-preview`) `GOOGLE_IMAGE_MODEL` Google model override `DASHSCOPE_IMAGE_MODEL` DashScope model override (default: `qwen-image-2.0-pro`) `MINIMAX_IMAGE_MODEL` MiniMax model override (default: `image-01`) `REPLICATE_IMAGE_MODEL` Replicate model override (default: google/nano-banana-pro) `JIMENG_IMAGE_MODEL` Jimeng model override (default: jimeng_t2i_v40) `SEEDREAM_IMAGE_MODEL` Seedream model override (default: doubao-seedream-5-0-260128) `OPENAI_BASE_URL` Custom OpenAI endpoint `AZURE_OPENAI_BASE_URL` Azure resource endpoint or deployment endpoint `AZURE_API_VERSION` Azure image API version (default: `2025-04-01-preview`) `OPENROUTER_BASE_URL` Custom OpenRouter endpoint (default: `https://openrouter.ai/api/v1`) `OPENROUTER_HTTP_REFERER` Optional app/site URL for OpenRouter attribution `OPENROUTER_TITLE` Optional app name for OpenRouter attribution `GOOGLE_BASE_URL` Custom Google endpoint `DASHSCOPE_BASE_URL` Custom DashScope endpoint `MINIMAX_BASE_URL` Custom MiniMax endpoint (default: `https://api.minimax.io`) `REPLICATE_BASE_URL` Custom Replicate endpoint `JIMENG_BASE_URL` Custom Jimeng endpoint (default: `https://visual.volcengineapi.com`) `JIMENG_REGION` Jimeng region (default: `cn-north-1`) `SEEDREAM_BASE_URL` Custom Seedream endpoint (default: `https://ark.cn-beijing.volces.com/api/v3`) `BAOYU_IMAGE_GEN_MAX_WORKERS` Override batch worker cap `BAOYU_IMAGE_GEN__CONCURRENCY` Override provider concurrency, e.g. `BAOYU_IMAGE_GEN_REPLICATE_CONCURRENCY` `BAOYU_IMAGE_GEN__START_INTERVAL_MS` Override provider start gap, e.g. `BAOYU_IMAGE_GEN_REPLICATE_START_INTERVAL_MS` **Load Priority**: CLI args > EXTEND.md > env vars > `/.baoyu-skills/.env` > `~/.baoyu-skills/.env` ## Model Resolution Model priority (highest → lowest), applies to all providers: - CLI flag: `--model ` - EXTEND.md: `default_model.[provider]` - Env var: `_IMAGE_MODEL` (e.g., `GOOGLE_IMAGE_MODEL`) - Built-in default For Azure, `--model` / `default_model.azure` should be the Azure deployment name. `AZURE_OPENAI_DEPLOYMENT` is the preferred env var, and `AZURE_OPENAI_IMAGE_MODEL` remains as a backward-compatible alias. **EXTEND.md overrides env vars**. If both EXTEND.md `default_model.google: "gemini-3-pro-image-preview"` and env var `GOOGLE_IMAGE_MODEL=gemini-3.1-flash-image-preview` exist, EXTEND.md wins. **Agent MUST display model info** before each generation: - Show: `Using [provider] / [model]` - Show switch hint: `Switch model: --model | EXTEND.md default_model.[provider] | env _IMAGE_MODEL` ### DashScope Models Use `--model qwen-image-2.0-pro` or set `default_model.dashscope` / `DASHSCOPE_IMAGE_MODEL` when the user wants official Qwen-Image behavior. Official DashScope model families: - `qwen-image-2.0-pro`, `qwen-image-2.0-pro-2026-03-03`, `qwen-image-2.0`, `qwen-image-2.0-2026-03-03` Free-form `size` in `宽*高` format - Total pixels must stay between `512*512` and `2048*2048` - Default size is approximately `1024*1024` - Best choice for custom ratios such as `21:9` and text-heavy Chinese/English layouts - `qwen-image-max`, `qwen-image-max-2025-12-30`, `qwen-image-plus`, `qwen-image-plus-2026-01-09`, `qwen-image` Fixed sizes only: `1664*928`, `1472*1104`, `1328*1328`, `1104*1472`, `928*1664` - Default size is `1664*928` - `qwen-image` currently has the same capability as `qwen-image-plus` - Legacy DashScope models such as `z-image-turbo`, `z-image-ultra`, `wanx-v1` Keep using them only when the user explicitly asks for legacy behavior or compatibility When translating CLI args into DashScope behavior: - `--size` wins over `--ar` - For `qwen-image-2.0*`, prefer explicit `--size`; otherwise infer from `--ar` and use the official recommended resolutions below - For `qwen-image-max/plus/image`, only use the five official fixed sizes; if the requested ratio is not covered, switch to `qwen-image-2.0-pro` - `--quality` is a baoyu-imagine compatibility preset, not a native DashScope API field. Mapping `normal` / `2k` onto the `qwen-image-2.0*` table below is an implementation inference, not an official API guarantee Recommended `qwen-image-2.0*` sizes for common aspect ratios: Ratio `normal` `2k` `1:1` `1024*1024` `1536*1536` `2:3` `768*1152` `1024*1536` `3:2` `1152*768` `1536*1024` `3:4` `960*1280` `1080*1440` `4:3` `1280*960` `1440*1080` `9:16` `720*1280` `1080*1920` `16:9` `1280*720` `1920*1080` `21:9` `1344*576` `2048*872` DashScope official APIs also expose `negative_prompt`, `prompt_extend`, and `watermark`, but `baoyu-imagine` does not expose them as dedicated CLI flags today. Official references: - [Qwen-Image API](https://help.aliyun.com/zh/model-studio/qwen-image-api) - [Text-to-image guide](https://help.aliyun.com/zh/model-studio/text-to-image) - [Qwen-Image Edit API](https://help.aliyun.com/zh/model-studio/qwen-image-edit-api) ### MiniMax Models Use `--model image-01` or set `default_model.minimax` / `MINIMAX_IMAGE_MODEL` when the user wants MiniMax image generation. Official MiniMax image model options currently documented in the API reference: - `image-01` (recommended default) Supports text-to-image and subject-reference image generation - Supports official `aspect_ratio` values: `1:1`, `16:9`, `4:3`, `3:2`, `2:3`, `3:4`, `9:16`, `21:9` - Supports documented custom `width` / `height` output sizes when using `--size ` - `width` and `height` must both be between `512` and `2048`, and both must be divisible by `8` - `image-01-live` Lower-latency variant - Use `--ar` for sizing; MiniMax documents custom `width` / `height` as only effective for `image-01` MiniMax subject reference notes: - `--ref` files are sent as MiniMax `subject_reference` - MiniMax docs currently describe `subject_reference[].type` as `character` - Official docs say `image_file` supports public URLs or Base64 Data URLs; `baoyu-imagine` sends local refs as Data URLs - Official docs recommend front-facing portrait references in JPG/JPEG/PNG under 10MB Official references: - [MiniMax Image Generation Guide](https://platform.minimax.io/docs/guides/image-generation) - [MiniMax Text-to-Image API](https://platform.minimax.io/docs/api-reference/image-generation-t2i) - [MiniMax Image-to-Image API](https://platform.minimax.io/docs/api-reference/image-generation-i2i) ### OpenRouter Models Use full OpenRouter model IDs, e.g.: - `google/gemini-3.1-flash-image-preview` (recommended, supports image output and reference-image workflows) - `google/gemini-2.5-flash-image-preview` - `black-forest-labs/flux.2-pro` - Other OpenRouter image-capable model IDs Notes: - OpenRouter image generation uses `/chat/completions`, not the OpenAI `/images` endpoints - If `--ref` is used, choose a multimodal model that supports image input and image output - `--imageSize` maps to OpenRouter `imageGenerationOptions.size`; `--size ` is converted to the nearest OpenRouter size and inferred aspect ratio when possible ### Replicate Models Supported model formats: - `owner/name` (recommended for official models), e.g. `google/nano-banana-pro` - `owner/name:version` (community models by version), e.g. `stability-ai/sdxl:` Examples: ``` # Use Replicate default model ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate # Override model explicitly ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana ``` ## Provider Selection - `--ref` provided + no `--provider` → auto-select Google first, then OpenAI, then Azure, then OpenRouter, then Replicate, then Seedream, then MiniMax (MiniMax subject reference is more specialized toward character/portrait consistency) - `--provider` specified → use it (if `--ref`, must be `google`, `openai`, `azure`, `openrouter`, `replicate`, `seedream`, or `minimax`) - Only one API key available → use that provider - Multiple available → default to Google ## Quality Presets Preset Google imageSize OpenAI Size OpenRouter size Replicate resolution Use Case `normal` 1K 1024px 1K 1K Quick previews `2k` (default) 2K 2048px 2K 2K Covers, illustrations, infographics **Google/OpenRouter imageSize**: Can be overridden with `--imageSize 1K|2K|4K` ## Aspect Ratios Supported: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `2.35:1` - Google multimodal: uses `imageConfig.aspectRatio` - OpenAI: maps to closest supported size - OpenRouter: sends `imageGenerationOptions.aspect_ratio`; if only `--size ` is given, aspect ratio is inferred automatically - Replicate: passes `aspect_ratio` to model; when `--ref` is provided without `--ar`, defaults to `match_input_image` - MiniMax: sends official `aspect_ratio` values directly; if `--size ` is given without `--ar`, `width` / `height` are sent for `image-01` ## Generation Mode **Default**: Sequential generation. **Batch Parallel Generation**: When `--batchfile` contains 2 or more pending tasks, the script automatically enables parallel generation. Mode When to Use Sequential (default) Normal usage, single images, small batches Parallel batch Batch mode with 2+ tasks Execution choice: Situation Preferred approach Why One image, or 1-2 simple images Sequential Lower coordination overhead and easier debugging Multiple images already have saved prompt files Batch (`--batchfile`) Reuses finalized prompts, applies shared throttling/retries, and gives predictable throughput Each image still needs separate reasoning, prompt writing, or style exploration Subagents The work is still exploratory, so each image may need independent analysis before generation Output comes from `baoyu-article-illustrator` with `outline.md` + `prompts/` Batch (`build-batch.ts` -> `--batchfile`) That workflow already produces prompt files, so direct batch execution is the intended path Rule of thumb: - Prefer batch over subagents once prompt files are already saved and the task is "generate all of these" - Use subagents only when generation is coupled with per-image thinking, rewriting, or divergent creative exploration Parallel behavior: - Default worker count is automatic, capped by config, built-in default 10 - Provider-specific throttling is applied only in batch mode, and the built-in defaults are tuned for faster throughput while still avoiding obvious RPM bursts - You can override worker count with `--jobs ` - Each image retries automatically up to 3 attempts - Final output includes success count, failure count, and per-image failure reasons ## Error Handling - Missing API key → error with setup instructions - Generation failure → auto-retry up to 3 attempts per image - Invalid aspect ratio → warning, proceed with default - Reference images with unsupported provider/model → error with fix hint ## Extension Support Custom configurations via EXTEND.md. See **Preferences** section for paths and supported options. Weekly Installs407Repository[jimliu/baoyu-skills](https://github.com/jimliu/baoyu-skills)GitHub Stars11.8KFirst Seen2 days agoSecurity Audits[Gen Agent Trust HubPass](/jimliu/baoyu-skills/baoyu-imagine/security/agent-trust-hub)[SocketPass](/jimliu/baoyu-skills/baoyu-imagine/security/socket)[SnykPass](/jimliu/baoyu-skills/baoyu-imagine/security/snyk)Installed oncodex398gemini-cli398opencode398kimi-cli397github-copilot397cursor397 --- *Source: https://skills.yangsir.net/skill/daily-baoyu-imagine* *Markdown mirror: https://skills.yangsir.net/api/skill/daily-baoyu-imagine/markdown*