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Try itnpx skills add https://github.com/jimliu/baoyu-skills --skill baoyu-image-genOfficial API-based image generation. Supports OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Jimeng (即梦), Seedream (豆包) and Replicate providers.
Agent Execution:
{baseDir} = this SKILL.md file's directory{baseDir}/scripts/main.ts${BUN_X} runtime: if bun installed → bun; if npx available → npx -y bun; else suggest installing bunCRITICAL: This step MUST complete BEFORE any image generation. Do NOT skip or defer.
Check EXTEND.md existence (priority: project → user):
# macOS, Linux, WSL, Git Bash
test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project"
test -f "${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 (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) → 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
# 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, OpenRouter, Replicate, 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
# 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
# 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
{
"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.
| 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|openrouter|dashscope|jimeng|seedream|replicate | Force provider (default: auto-detect) |
--model <id>, -m | Model ID (Google: gemini-3-pro-image-preview; OpenAI: gpt-image-1.5; OpenRouter: google/gemini-3.1-flash-image-preview; DashScope: qwen-image-2.0-pro) |
--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, OpenRouter multimodal models, Replicate, 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 |
| Variable | Description |
|---|---|
OPENAI_API_KEY | OpenAI API key |
OPENROUTER_API_KEY | OpenRouter API key |
GOOGLE_API_KEY | Google API key |
DASHSCOPE_API_KEY | DashScope API key (阿里云) |
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 |
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) |
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 |
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 |
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 priority (highest → lowest), applies to all providers:
--model <id>default_model.[provider]<PROVIDER>_IMAGE_MODEL (e.g., GOOGLE_IMAGE_MODEL)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:
Using [provider] / [model]Switch model: --model <id> | EXTEND.md default_model.[provider] | env <PROVIDER>_IMAGE_MODELUse --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
size in 宽*高 format512*512 and 2048*20481024*102421:9 and text-heavy Chinese/English layoutsqwen-image-max, qwen-image-max-2025-12-30, qwen-image-plus, qwen-image-plus-2026-01-09, qwen-image
1664*928, 1472*1104, 1328*1328, 1104*1472, 928*16641664*928qwen-image currently has the same capability as qwen-image-plusz-image-turbo, z-image-ultra, wanx-v1
When translating CLI args into DashScope behavior:
--size wins over --arqwen-image-2.0*, prefer explicit --size; otherwise infer from --ar and use the official recommended resolutions belowqwen-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 guaranteeRecommended 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:
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-previewblack-forest-labs/flux.2-proNotes:
/chat/completions, not the OpenAI /images endpoints--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 possibleSupported model formats:
owner/name (recommended for official models), e.g. google/nano-banana-proowner/name:version (community models by version), e.g. stability-ai/sdxl:<version>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
--ref provided + no --provider → auto-select Google first, then OpenAI, then OpenRouter, then Replicate (Jimeng and Seedream do not support reference images)--provider specified → use it (if --ref, must be google, openai, openrouter, or replicate)| 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
Supported: 1:1, 16:9, 9:16, 4:3, 3:4, 2.35:1
imageConfig.aspectRatioimageGenerationOptions.aspect_ratio; if only --size <WxH> is given, aspect ratio is inferred automaticallyaspect_ratio to model; when --ref is provided without --ar, defaults to match_input_imageDefault: 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:
Parallel behavior:
--jobs <count>Custom configurations via EXTEND.md. See Preferences section for paths and supported options.