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/baoyu-image-gen

@1567581 official
by Jim Liu 宝玉jimliu/baoyu-skills26k stars
2,896

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. 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.

Ask your Agent

Use this Skill: https://skilld.dev/gh/jimliu/baoyu-skills/baoyu-image-gen

This session only. Nothing lands on disk.

referencesconfigfirst-time-setup.md

≈3.6k tokens on demand. Your agent reads this file only when SKILL.md points to it.

First-Time Setup

Overview

Triggered when:

  1. No EXTEND.md found → full setup (provider + model + preferences)
  2. EXTEND.md found but default_model.[provider] is null → model selection only

Setup Flow

No EXTEND.md found          EXTEND.md found, model null
        │                            │
        ▼                            ▼
┌─────────────────────┐    ┌──────────────────────┐
│ AskUserQuestion     │    │ AskUserQuestion      │
│ (full setup)        │    │ (model only)         │
└─────────────────────┘    └──────────────────────┘
        │                            │
        ▼                            ▼
┌─────────────────────┐    ┌──────────────────────┐
│ Create EXTEND.md    │    │ Update EXTEND.md     │
└─────────────────────┘    └──────────────────────┘
        │                            │
        ▼                            ▼
    Continue                     Continue

Flow 1: No EXTEND.md (Full Setup)

Language: Use user's input language or saved language preference.

Use AskUserQuestion with ALL questions in ONE call:

Question 1: Default Provider

header: "Provider"
question: "Default image generation provider?"
options:
  - label: "Google (Recommended)"
    description: "Gemini multimodal - high quality, reference images, flexible sizes"
  - label: "OpenAI"
    description: "GPT Image 2 - latest OpenAI image model, reference-image workflows"
  - label: "Azure OpenAI"
    description: "Azure-hosted GPT Image deployments with resource-specific routing"
  - label: "OpenRouter"
    description: "Router for Gemini/FLUX/OpenAI-compatible image models"
  - label: "DashScope"
    description: "Alibaba Cloud - Qwen-Image, strong Chinese/English text rendering"
  - label: "Z.AI"
    description: "GLM-image, strong poster and text-heavy image generation"
  - label: "MiniMax"
    description: "MiniMax image generation with subject-reference character workflows"
  - label: "Replicate"
    description: "Curated Replicate image families - nano-banana-2, Seedream, and Wan image models"
  - label: "Agnes"
    description: "Sapiens AI Agnes - optimized for high information density, complex layouts, reference-image support"

Question 2: Default Google Model

Only show if user selected Google or auto-detect (no explicit provider).

header: "Google Model"
question: "Default Google image generation model?"
options:
  - label: "gemini-3-pro-image (Recommended)"
    description: "Highest quality, best for production use"
  - label: "gemini-3.1-flash-image"
    description: "Fast generation, good quality, lower cost"
  - label: "gemini-3.1-flash-lite-image"
    description: "Cheapest and fastest; 1K output only"
  - label: "gemini-3-flash-preview"
    description: "Fast generation, balanced quality and speed"

Question 2b: Default OpenRouter Model

Only show if user selected OpenRouter.

header: "OpenRouter Model"
question: "Default OpenRouter image generation model?"
options:
  - label: "google/gemini-3.1-flash-image (Recommended)"
    description: "Best general-purpose OpenRouter image model with reference-image workflows"
  - label: "google/gemini-2.5-flash-image-preview"
    description: "Fast Gemini preview model on OpenRouter"
  - label: "black-forest-labs/flux.2-pro"
    description: "Strong text-to-image quality through OpenRouter"

Question 2c: Default Azure Deployment

Only show if user selected Azure OpenAI.

header: "Azure Deploy"
question: "Default Azure image deployment name?"
options:
  - label: "gpt-image-2.5-flare (Recommended)"
    description: "Use if your Azure deployment uses the GPT Image 2.5 Flare model name"
  - label: "gpt-image-2.5-sunburst"
    description: "Use if your Azure deployment uses the GPT Image 2.5 Sunburst model name"
  - label: "gpt-image-2"
    description: "Use if your Azure deployment uses the GPT Image 2 model name"
  - label: "gpt-image-1.5"
    description: "Previous GPT Image deployment name"
  - label: "gpt-image-1"
    description: "Earlier GPT Image deployment name"

Question 2d: Default MiniMax Model

Only show if user selected MiniMax.

header: "MiniMax Model"
question: "Default MiniMax image generation model?"
options:
  - label: "image-01 (Recommended)"
    description: "Best default, supports aspect ratios and custom width/height"
  - label: "image-01-live"
    description: "Faster variant, use aspect ratio instead of custom size"

Question 2e: Default Z.AI Model

Only show if user selected Z.AI.

header: "Z.AI Model"
question: "Default Z.AI image generation model?"
options:
  - label: "glm-image (Recommended)"
    description: "Best default for posters, diagrams, and text-heavy images"
  - label: "cogview-4-250304"
    description: "Legacy Z.AI image model on the same endpoint"

Question 3: Default Quality

header: "Quality"
question: "Default image quality?"
options:
  - label: "2k (Recommended)"
    description: "2048px - covers, illustrations, infographics"
  - label: "normal"
    description: "1024px - quick previews, drafts"

Question 4: Save Location

header: "Save"
question: "Where to save preferences?"
options:
  - label: "Project (Recommended)"
    description: ".baoyu-skills/ (this project only)"
  - label: "User"
    description: "~/.baoyu-skills/ (all projects)"

Save Locations

Choice Path Scope
Project .baoyu-skills/baoyu-image-gen/EXTEND.md Current project
User $HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md All projects

EXTEND.md Template

---
version: 1
default_provider: [selected provider or null]
default_quality: [selected quality]
default_aspect_ratio: null
default_image_size: null
default_image_api_dialect: null
default_model:
  google: [selected google model or null]
  openai: null
  azure: [selected azure deployment or null]
  openrouter: [selected openrouter model or null]
  dashscope: null
  zai: [selected Z.AI model or null]
  minimax: [selected minimax model or null]
  replicate: null
  agnes: null
---

If the user selects OpenAI but says their endpoint is only OpenAI-compatible and fronts another image model family, save default_image_api_dialect: ratio-metadata when they explicitly confirm the gateway expects aspect-ratio size plus metadata-based resolution. Otherwise leave it null / openai-native.

Flow 2: EXTEND.md Exists, Model Null

When EXTEND.md exists but default_model.[current_provider] is null, ask ONLY the model question for the current provider.

Google Model Selection

header: "Google Model"
question: "Choose a default Google image generation model?"
options:
  - label: "gemini-3-pro-image (Recommended)"
    description: "Highest quality, best for production use"
  - label: "gemini-3.1-flash-image"
    description: "Fast generation, good quality, lower cost"
  - label: "gemini-3.1-flash-lite-image"
    description: "Cheapest and fastest; 1K output only"
  - label: "gemini-3-flash-preview"
    description: "Fast generation, balanced quality and speed"

OpenAI Model Selection

header: "OpenAI Model"
question: "Choose a default OpenAI image generation model?"
options:
  - label: "gpt-image-2.5-flare (Recommended)"
    description: "Latest GPT Image model, fastest; flexible sizes up to 4K, high-fidelity image inputs"
  - label: "gpt-image-2.5-sunburst"
    description: "Most capable GPT Image model for complex scenes and precise edits; slower"
  - label: "gpt-image-2"
    description: "Previous GPT Image generation, flexible sizes up to 4K"
  - label: "gpt-image-1.5"
    description: "Previous GPT Image model"
  - label: "gpt-image-1"
    description: "Earlier GPT Image model"

Azure Deployment Selection

header: "Azure Deploy"
question: "Choose a default Azure image deployment name?"
options:
  - label: "gpt-image-2.5-flare (Recommended)"
    description: "Use when your Azure deployment name matches the GPT Image 2.5 Flare model"
  - label: "gpt-image-2.5-sunburst"
    description: "Use when your Azure deployment name matches the GPT Image 2.5 Sunburst model"
  - label: "gpt-image-2"
    description: "Use when your Azure deployment name matches the GPT Image 2 model"
  - label: "gpt-image-1.5"
    description: "Use when your Azure deployment name matches the GPT Image 1.5 model"
  - label: "gpt-image-1"
    description: "Use when your Azure deployment name matches GPT-image-1"

Notes for Azure setup:

  • In baoyu-image-gen, Azure --model / default_model.azure should be the Azure deployment name, not just the underlying model family.
  • If the deployment name is custom, save that exact deployment name in default_model.azure.

OpenRouter Model Selection

header: "OpenRouter Model"
question: "Choose a default OpenRouter image generation model?"
options:
  - label: "google/gemini-3.1-flash-image (Recommended)"
    description: "Recommended for image output and reference-image edits"
  - label: "google/gemini-2.5-flash-image-preview"
    description: "Fast preview-oriented image generation"
  - label: "black-forest-labs/flux.2-pro"
    description: "High-quality text-to-image through OpenRouter"

DashScope Model Selection

header: "DashScope Model"
question: "Choose a default DashScope image generation model?"
options:
  - label: "qwen-image-2.0-pro (Recommended)"
    description: "Best-verified DashScope model for text rendering and custom sizes"
  - label: "qwen-image-3.0-pro"
    description: "Newest Qwen flagship; same sizing rules, not yet the built-in default"
  - label: "qwen-image-2.0"
    description: "Faster 2.0 variant with flexible output size"
  - label: "qwen-image-max"
    description: "Legacy Qwen model with five fixed output sizes"
  - label: "qwen-image-plus"
    description: "Legacy Qwen model, same current capability as qwen-image"
  - label: "wan2.7-image-pro"
    description: "Wan 2.7 Pro — supports up to 4K text-to-image and reference-image editing"
  - label: "wan2.7-image"
    description: "Wan 2.7 base — faster generation, up to 2K, supports reference-image editing"
  - label: "z-image-turbo"
    description: "Legacy DashScope model for compatibility"
  - label: "z-image-ultra"
    description: "Legacy DashScope model, higher quality but slower"

Notes for DashScope setup:

  • Prefer qwen-image-2.0-pro (or the newer qwen-image-3.0-pro) when the user needs custom --size, uncommon ratios like 21:9, or strong Chinese/English text rendering.
  • qwen-image-max / qwen-image-plus / qwen-image only support five fixed sizes: 1664*928, 1472*1104, 1328*1328, 1104*1472, 928*1664.
  • wan2.7-image-pro and wan2.7-image are the only DashScope models that accept --ref. Pick one of these when the user wants reference-image editing or multi-image fusion via DashScope.
  • In baoyu-image-gen, quality is a compatibility preset. It is not a native DashScope parameter.

Z.AI Model Selection

header: "Z.AI Model"
question: "Choose a default Z.AI image generation model?"
options:
  - label: "glm-image (Recommended)"
    description: "Current flagship image model with better text rendering and poster layouts"
  - label: "cogview-4-250304"
    description: "Legacy model on the sync image endpoint"

Notes for Z.AI setup:

  • Prefer glm-image for posters, diagrams, and Chinese/English text-heavy layouts.
  • In baoyu-image-gen, Z.AI currently exposes text-to-image only; reference images are not wired for this provider.
  • The sync Z.AI image API returns a downloadable image URL, which the runtime saves locally after download.

Replicate Model Selection

header: "Replicate Model"
question: "Choose a default Replicate image generation model?"
options:
  - label: "google/nano-banana-2 (Recommended)"
    description: "Current default for general Replicate image generation in baoyu-image-gen"
  - label: "bytedance/seedream-4.5"
    description: "Replicate Seedream 4.5 with validated local size/ref guardrails"
  - label: "bytedance/seedream-5-lite"
    description: "Replicate Seedream 5 Lite with validated local size/ref guardrails"
  - label: "wan-video/wan-2.7-image-pro"
    description: "Replicate Wan 2.7 Image Pro with 4K text-to-image support"

MiniMax Model Selection

header: "MiniMax Model"
question: "Choose a default MiniMax image generation model?"
options:
  - label: "image-01 (Recommended)"
    description: "Best general-purpose MiniMax image model with custom width/height support"
  - label: "image-01-live"
    description: "Lower-latency MiniMax image model using aspect ratios"

Notes for MiniMax setup:

  • image-01 is the safest default. It supports official aspect_ratio values and documented custom width / height output sizes.
  • image-01-live is useful when the user prefers faster generation and can work with aspect-ratio-based sizing.
  • MiniMax subject reference currently uses subject_reference[].type = character; docs recommend front-facing portrait references in JPG/JPEG/PNG under 10MB.

Update EXTEND.md

After user selects a model:

  1. Read existing EXTEND.md
  2. If default_model: section exists → update the provider-specific key
  3. If default_model: section missing → add the full section:
default_model:
  google: [value or null]
  openai: [value or null]
  azure: [value or null]
  openrouter: [value or null]
  dashscope: [value or null]
  zai: [value or null]
  minimax: [value or null]
  replicate: [value or null]
  agnes: [value or null]

Only set the selected provider's model; leave others as their current value or null.

After Setup

  1. Create directory if needed
  2. Write/update EXTEND.md with frontmatter
  3. Confirm: "Preferences saved to [path]"
  4. Continue with image generation

Source: SKILL.md on GitHub

Third-party checks

1 alert16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill facilitates official API-based image generation across various known providers (OpenAI, Google, Azure, OpenRouter, DashScope, Z.AI, MiniMax, Replicate, Agnes). Analysis confirmed no malicious operations, prompt injections, or dynamic code execution flaws.

  • Socket16d

    2 alerts: gptAnomaly, gptSecurity

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer6mo

    2/9 files flagged

  • ZeroLeaks5mo

    1 finding · Score: 86/100

Provenance

Signed by skilld at 1567581. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Activeupdated 3 weeks ago

Capability

version
2.2.0
Other metadata
metadata
{
  "openclaw": {
    "homepage": "https://github.com/JimLiu/baoyu-skills#baoyu-image-gen",
    "requires": {
      "anyBins": [
        "bun",
        "npx"
      ]
    }
  }
}

Topics

  • API
  • image-generation
  • openai
  • google
  • azure
  • replicate
  • text-to-image
  • batch-generation
  • multimodal

README badge

README badge for jimliu/baoyu-skills/baoyu-image-gen

What it does

Generates images via OpenAI, Google, Azure OpenAI, OpenRouter, DashScope, Replicate, and 5+ other APIs. Supports text-to-image, reference images, aspect ratios, and batch generation with configurable worker concurrency. Routes through a provider-agnostic CLI that requires Bun or Node.js and API credentials per provider.

Generated from the current SKILL.md.

Frequently asked

Which image generation APIs does this skill support?
OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate, Codex CLI, and Agnes.
Does this skill support reference images?
Yes, but support varies by provider. Google multimodal, OpenAI GPT Image edits, Azure OpenAI edits, OpenRouter multimodal, Replicate, MiniMax, and Seedream 4.0+ support references. Jimeng, Seedream 3.0, and most DashScope models do not.
Can I generate multiple images at once?
Yes. Use batch mode with `--batchfile` and `--jobs` for parallel generation, or the `--n` option for single-call multi-image requests (Replicate requires `--n 1`).
Do I need an OpenAI API key to use this skill?
Only if you use the `openai` provider or have it as your default. Other providers require their own API keys. If using Codex CLI without an OpenAI key, use `--provider codex-cli` instead.
Does this skill require bun or npm?
Yes, the skill requires either `bun` or `npx` to run the TypeScript scripts.

Generated from the current SKILL.md. These answers refresh after source changes.