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baoyu-image-gen

AI image generation with OpenAI, Google, OpenRouter, DashScope, 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.

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Overview

Install command

npx skills add https://github.com/buda-ai/buda-marketplace --skill baoyu-image-gen

Copy and paste this command into Claude Code to install the skill

Source

buda-ai/buda-marketplace

Stars5

Forks2

UpdatedApril 1, 2026 at 12:30

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19 files

SKILL.md

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Image Generation (AI SDK)

Official API-based image generation. Supports OpenAI, Google, OpenRouter, DashScope (阿里通义万象), 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 from the current working directory:

test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "found"

Result	Action
Found	Load, parse, apply settings. If `default_model.[provider]` is null → ask model only (Flow 2 in first-time-setup.md)
Not found	⛔ STOP. Do NOT generate any images. Read references/config/first-time-setup.md and follow its Flow 1 checklist step by step. This is a multi-turn interactive setup that requires asking the user multiple questions. Resume image generation only after Step 5 (verify) passes.

CRITICAL: The first-time setup is a multi-step interactive workflow, NOT a single action. You must ask the user questions and wait for answers at each step.

Path	Location
`.baoyu-skills/baoyu-image-gen/EXTEND.md`	Relative to current working directory

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, 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

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 <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

Environment Variables

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 Resolution

Model priority (highest → lowest), applies to all providers:

CLI flag: --model <id>
EXTEND.md: default_model.[provider]
Env var: <PROVIDER>_IMAGE_MODEL (e.g., GOOGLE_IMAGE_MODEL)
Built-in default

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:

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:

# 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 OpenRouter, then Replicate (Jimeng and Seedream do not support reference images)
--provider specified → use it (if --ref, must be google, openai, openrouter, or replicate)
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 <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

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

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.

Attribution

Based on baoyu-image-gen by JimLiu, licensed under MIT. Modified and adapted for the Buda.im platform.

name	baoyu-image-gen
description	AI image generation with OpenAI, Google, OpenRouter, DashScope, 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	1.56.3

baoyu-image-gen

More from this repository

More from this repository

Image Generation (AI SDK)

Script Directory

Step 0: Load Preferences ⛔ BLOCKING

Usage

Batch File Format

Options

Environment Variables

Model Resolution

DashScope Models

OpenRouter Models

Replicate Models

Provider Selection

Quality Presets

Aspect Ratios

Generation Mode

Error Handling

Extension Support

Attribution

Image Generation (AI SDK)

Script Directory

Step 0: Load Preferences ⛔ BLOCKING

Usage

Batch File Format

Options

Environment Variables

Model Resolution

DashScope Models

OpenRouter Models

Replicate Models

Provider Selection

Quality Presets

Aspect Ratios

Generation Mode

Error Handling

Extension Support

Attribution