Media Tools
therichardngai-code/gpt-image-2-pro-max
Two CLI tools for image generation + vision analysis using goclaw's provider-chain pattern.
AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs.
$ npx skills add LeoYeAI/openclaw-master-skills --skill baoyu-imagine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills baoyu-imagine --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/baoyu-imagine .claude/skills/baoyu-imagine && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "baoyu-imagine" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/baoyu-imagine into .claude/skills/baoyu-imagine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "baoyu-imagine", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/baoyu-imagineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill baoyu-imagine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills baoyu-imagine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/baoyu-imagine .agents/skills/baoyu-imagine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "baoyu-imagine" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/baoyu-imagine into .agents/skills/baoyu-imagine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "baoyu-imagine", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill baoyu-imagine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills baoyu-imagine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/baoyu-imagine .cursor/skills/baoyu-imagine && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "baoyu-imagine" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/baoyu-imagine into .cursor/skills/baoyu-imagine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "baoyu-imagine", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/baoyu-imagine--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill baoyu-imagine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills baoyu-imagine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/baoyu-imagine .gemini/skills/baoyu-imagine && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "baoyu-imagine" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/baoyu-imagine into .gemini/skills/baoyu-imagine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "baoyu-imagine", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills baoyu-imagineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill baoyu-imagine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/baoyu-imagine .github/skills/baoyu-imagine && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "baoyu-imagine" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/baoyu-imagine into .github/skills/baoyu-imagine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "baoyu-imagine", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill baoyu-imagine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills baoyu-imagine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/baoyu-imagine .opencode/skills/baoyu-imagine && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "baoyu-imagine" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/baoyu-imagine into .opencode/skills/baoyu-imagine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "baoyu-imagine", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
baoyu-imagineAI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs.
Baoyu Imagine is an agent skill from LeoYeAI/openclaw-master-skills. 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.
Its SKILL.md is about 5.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 28 other files, including scripts and reference files (for example `_meta.json`, `references/config/first-time-setup.md` and `references/config/preferences-schema.md`).
It sits in Media & Creative, covering Image generation and Model routing and gateways. It works with Azure OpenAI, MiniMax, OpenAI and OpenRouter. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 13 files in scripts/ (TypeScript, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
openrouter.aiapi.minimax.iovisual.volcengineapi.comark.cn-beijing.volces.comAlso links to:
help.aliyun.complatform.minimax.ioFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYAZURE_OPENAI_API_KEYOPENROUTER_API_KEYGOOGLE_API_KEYDASHSCOPE_API_KEYMINIMAX_API_KEYREPLICATE_API_TOKENJIMENG_ACCESS_KEY_IDJIMENG_SECRET_ACCESS_KEYARK_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Baoyu Imagine loads about 5.1k tokens when it runs, and up to ~8.6k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 1,594 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
END.md > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,594 words, ~5,092 tokens.
.claude/skills/baoyu-imagine/SKILL.md (or your agent's skills folder). This skill also uses 24 other files; get the full folder from GitHub.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.
Agent Execution:
{baseDir} = this SKILL.md file's directory{baseDir}/scripts/main.ts${BUN_X} runtime: if bun installed → bun; if npx available → npx -y bun; else suggest installing bunCRITICAL: This step MUST complete BEFORE any image generation. Do NOT skip or defer.
Check EXTEND.md existence (priority: project → user):
# macOS, Linux, WSL, Git Bash
test -f .baoyu-skills/baoyu-imagine/EXTEND.md && echo "project"
test -f "${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) → 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
# 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{
"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|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 |
| 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 priority (highest → lowest), applies to all providers:
--model <id>default_model.[provider]<PROVIDER>_IMAGE_MODEL (e.g., GOOGLE_IMAGE_MODEL)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:
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-2.0-2026-03-03size 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-image1664*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-v1When 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-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 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-imagine does not expose them as dedicated CLI flags today.
Official references:
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)aspect_ratio values: 1:1, 16:9, 4:3, 3:2, 2:3, 3:4, 9:16, 21:9width / height output sizes when using --size <WxH>width and height must both be between 512 and 2048, and both must be divisible by 8image-01-live--ar for sizing; MiniMax documents custom width / height as only effective for image-01MiniMax subject reference notes:
--ref files are sent as MiniMax subject_referencesubject_reference[].type as characterimage_file supports public URLs or Base64 Data URLs; baoyu-imagine sends local refs as Data URLsOfficial 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 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)| 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_imageaspect_ratio values directly; if --size <WxH> is given without --ar, width / height are sent for image-01Default: 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.
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 24 other files (scripts, references) in skills/baoyu-imagine of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Baoyu Imagine next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Baoyu Imagine this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.1k | Automated safety check: Notes | MIT | |
| Media Toolstherichardngai-code/gpt-image-2-pro-max | 101 | — | ~1.5k | Automated safety check: Notes | MIT | |
| Baoyu Image GenJimLiu/baoyu-skills | 27k | 1 repos | ~5.3k | Automated safety check: Notes | MIT | |
| Baoyu Imagineguanyang/open-agent-hub | 977 | — | ~4.6k | Automated safety check: Notes | MIT | |
| AI Image Creatorevolution-foundation/evo-nexus | 545 | — | ~5.1k | Automated safety check: Notes | Custom licence | |
| Generate ImageK-Dense-AI/claude-scientific-writer | 2.4k | 1 repos | ~3.8k | Automated safety check: Notes | MIT |
therichardngai-code/gpt-image-2-pro-max
Two CLI tools for image generation + vision analysis using goclaw's provider-chain pattern.
JimLiu/baoyu-skills
AI image generation with OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs.
guanyang/open-agent-hub
AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream and Replicate APIs.
evolution-foundation/evo-nexus
Generates PNG images through OpenRouter models, with transparent backgrounds and reference-image edits, and describes existing images with multimodal vision.
K-Dense-AI/claude-scientific-writer
Generate or edit images with AI models through the OpenRouter Image API (Gemini, Seedream, Recraft, GPT-Image, Riverflow).
Peiiii/nextclaw
Use the local aigen CLI to generate images through configured providers such as OpenRouter or OpenAI.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Works with
Categories
AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs. Baoyu Imagine is an agent skill from LeoYeAI/openclaw-master-skills. AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs.
Baoyu Imagine fits situations like: already has multiple prompts; wants stable multi-image throughput; user asks to generate.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill baoyu-imagine -a claude-code`. Or copy the skill folder (skills/baoyu-imagine in LeoYeAI/openclaw-master-skills) into .claude/skills/baoyu-imagine in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill baoyu-imagine -a codex`. Or copy the skill folder (skills/baoyu-imagine in LeoYeAI/openclaw-master-skills) into .agents/skills/baoyu-imagine in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill baoyu-imagine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/baoyu-imagine, .gemini/skills/baoyu-imagine, .github/skills/baoyu-imagine and .opencode/skills/baoyu-imagine in your project.
Going by SKILL.md and its folder, Baoyu Imagine needs TypeScript for the scripts in its folder, the command-line tools its instructions call (npx) and credentials named OPENAI_API_KEY, AZURE_OPENAI_API_KEY, OPENROUTER_API_KEY and GOOGLE_API_KEY. Our summary lists: Node.js; A credential in OPENAI_API_KEY; A credential in AZURE_OPENAI_API_KEY.
SKILL.md names 6 domains. In commands or code: openrouter.ai, api.minimax.io, visual.volcengineapi.com and ark.cn-beijing.volces.com; the agent is likely to contact these when it follows the instructions. As links in the text: help.aliyun.com and platform.minimax.io. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Baoyu Imagine is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.1k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Baoyu Imagine: Media Tools (therichardngai-code/gpt-image-2-pro-max, 101 stars), Baoyu Image Gen (JimLiu/baoyu-skills, 27k stars), Baoyu Imagine (guanyang/open-agent-hub, 977 stars) and AI Image Creator (evolution-foundation/evo-nexus, 545 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.