PaperclipOrg
Claude Agent Skill · by Jimliu

Baoyu Image Gen

baoyu-image-gen generates images from text prompts using multiple AI providers including OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, S

Install
Terminal · npx
$npx skills add https://github.com/jimliu/baoyu-skills --skill baoyu-image-gen
Works with Paperclip

How Baoyu Image Gen fits into a Paperclip company.

Baoyu Image Gen drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

S
SaaS FactoryPaired

Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

$27$59
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Source file
SKILL.md408 lines
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---name: baoyu-image-gendescription: AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.version: 1.56.4metadata:  openclaw:    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-image-gen    requires:      anyBins:        - bun        - npx--- > **⚠️ DEPRECATED**: This skill has been migrated to `baoyu-imagine`. Print a bold red warning to the user **in the user's language** (use ANSI escape `\033[1;31m`) stating that `baoyu-image-gen` has been migrated to `baoyu-imagine` and they should use `baoyu-imagine` instead. Then STOP — do NOT continue executing this skill. # Image Generation (AI SDK) Official API-based image generation. Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), MiniMax, Jimeng (即梦), Seedream (豆包) and Replicate providers. ## Script Directory **Agent Execution**:1. `{baseDir}` = this SKILL.md file's directory2. Script path = `{baseDir}/scripts/main.ts`3. Resolve `${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): ```bash# macOS, Linux, WSL, Git Bashtest -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project"test -f "${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "xdg"test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"``` ```powershell# PowerShell (Windows)if (Test-Path .baoyu-skills/baoyu-image-gen/EXTEND.md) { "project" }$xdg = if ($env:XDG_CONFIG_HOME) { $env:XDG_CONFIG_HOME } else { "$HOME/.config" }if (Test-Path "$xdg/baoyu-skills/baoyu-image-gen/EXTEND.md") { "xdg" }if (Test-Path "$HOME/.baoyu-skills/baoyu-image-gen/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](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-image-gen/EXTEND.md` | Project directory || `$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md` | User home | **EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | Default models | Batch worker cap | Provider-specific batch limits Schema: `references/config/preferences-schema.md` ## Usage ```bash# Basic${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 ```json{  "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 <text>`, `-p` | Prompt text || `--promptfiles <files...>` | Read prompt from files (concatenated) || `--image <path>` | Output image path (required in single-image mode) || `--batchfile <path>` | JSON batch file for multi-image generation || `--jobs <count>` | 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 <id>`, `-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 <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) || `--size <WxH>` | Size (e.g., `1024x1024`) || `--quality normal\|2k` | Quality preset (default: `2k`) || `--imageSize 1K\|2K\|4K` | Image size for Google/OpenRouter (default: from quality) || `--ref <files...>` | 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 <count>` | 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_<PROVIDER>_CONCURRENCY` | Override provider concurrency, e.g. `BAOYU_IMAGE_GEN_REPLICATE_CONCURRENCY` || `BAOYU_IMAGE_GEN_<PROVIDER>_START_INTERVAL_MS` | Override provider start gap, e.g. `BAOYU_IMAGE_GEN_REPLICATE_START_INTERVAL_MS` | **Load Priority**: CLI args > EXTEND.md > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env` ## Model Resolution Model priority (highest → lowest), applies to all providers: 1. CLI flag: `--model <id>`2. EXTEND.md: `default_model.[provider]`3. Env var: `<PROVIDER>_IMAGE_MODEL` (e.g., `GOOGLE_IMAGE_MODEL`)4. 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 <id> | EXTEND.md default_model.[provider] | env <PROVIDER>_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-image-gen 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-image-gen` 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 <WxH>`  - `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-image-gen` 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 <WxH>` 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:<version>` Examples: ```bash# 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 1. `--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)2. `--provider` specified → use it (if `--ref`, must be `google`, `openai`, `azure`, `openrouter`, `replicate`, `seedream`, or `minimax`)3. Only one API key available → use that provider4. 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 <WxH>` 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 <WxH>` 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 <count>`- 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.