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metadata

baoyu-imagine

AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, 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.

1.57.0

openclaw

homepage

requires

https://github.com/JimLiu/baoyu-skills#baoyu-imagine

anyBins

bun

npx

Image Generation (AI SDK)

Official API-based image generation. Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Z.AI GLM-Image, MiniMax, 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 (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.

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, Azure OpenAI, OpenRouter, Replicate supported families, 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

# Z.AI GLM-image
${BUN_X} {baseDir}/scripts/main.ts --prompt "一张带清晰中文标题的科技海报" --image out.png --provider zai

# Z.AI GLM-image with explicit custom size
${BUN_X} {baseDir}/scripts/main.ts --prompt "A science illustration with labels" --image out.png --provider zai --model glm-image --size 1472x1088

# 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 (default: google/nano-banana-2)
${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate

# Replicate Seedream 4.5
${BUN_X} {baseDir}/scripts/main.ts --prompt "A cinematic portrait" --image out.png --provider replicate --model bytedance/seedream-4.5 --ar 3:2

# Replicate Wan 2.7 Image Pro
${BUN_X} {baseDir}/scripts/main.ts --prompt "A concept frame" --image out.png --provider replicate --model wan-video/wan-2.7-image-pro --size 2048x1152

# 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-2",
      "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\|zai\|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`; Z.AI: `glm-image`; 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)
`--imageApiDialect openai-native\|ratio-metadata`	OpenAI-compatible image API dialect. Use `ratio-metadata` when the endpoint is OpenAI-compatible but expects aspect-ratio `size` plus `metadata.resolution` instead of pixel `size`
`--ref <files...>`	Reference images. Supported by Google multimodal, OpenAI GPT Image edits, Azure OpenAI edits (PNG/JPG only), OpenRouter multimodal models, Replicate supported families, 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. Replicate currently supports only `--n 1` because this path saves exactly one output image
`--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)
`ZAI_API_KEY`	Z.AI API key
`BIGMODEL_API_KEY`	Backward-compatible alias for Z.AI API key
`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`)
`ZAI_IMAGE_MODEL`	Z.AI model override (default: `glm-image`)
`BIGMODEL_IMAGE_MODEL`	Backward-compatible alias for Z.AI model override
`MINIMAX_IMAGE_MODEL`	MiniMax model override (default: `image-01`)
`REPLICATE_IMAGE_MODEL`	Replicate model override (default: google/nano-banana-2)
`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
`OPENAI_IMAGE_API_DIALECT`	OpenAI-compatible image API dialect override (`openai-native` or `ratio-metadata`)
`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
`ZAI_BASE_URL`	Custom Z.AI endpoint (default: `https://api.z.ai/api/paas/v4`)
`BIGMODEL_BASE_URL`	Backward-compatible alias for Z.AI 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:

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

OpenAI-Compatible Gateway Dialects

provider=openai means the auth and routing entrypoint is OpenAI-compatible. It does not guarantee that the upstream image API uses OpenAI native image-request semantics.

Use default_image_api_dialect in EXTEND.md, OPENAI_IMAGE_API_DIALECT, or --imageApiDialect when the endpoint expects a different wire format:

openai-native: Sends pixel size such as 1536x1024 and native OpenAI quality fields when supported
ratio-metadata: Sends aspect-ratio size such as 16:9 and maps quality/size intent into metadata.resolution (1K|2K|4K) plus metadata.orientation

Recommended use:

OpenAI native Images API or strict clones: keep openai-native
OpenAI-compatible gateways in front of Gemini or similar models: try ratio-metadata

Current limitation: ratio-metadata only applies to text-to-image generation. Reference-image edit flows still require openai-native or another provider with first-class edit support.

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-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 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-imagine does not expose them as dedicated CLI flags today.

Official references:

Z.AI Models

Use --model glm-image or set default_model.zai / ZAI_IMAGE_MODEL when the user wants GLM-image output.

Official Z.AI image model options currently documented in the sync image API:

glm-image (recommended default)
- Text-to-image only in baoyu-imagine
- Native quality options are hd and standard; this skill maps 2k -> hd and normal -> standard
- Recommended sizes: 1280x1280, 1568x1056, 1056x1568, 1472x1088, 1088x1472, 1728x960, 960x1728
- Custom --size requires width and height between 1024 and 2048, divisible by 32, with total pixels <= 2^22
cogview-4-250304
- Legacy Z.AI image model family exposed by the same endpoint
- Custom --size requires width and height between 512 and 2048, divisible by 16, with total pixels <= 2^21

Notes:

The official sync API returns a temporary image URL; baoyu-imagine downloads that URL and writes the image locally
--ref is not supported for Z.AI in this skill yet
The sync API currently returns a single image, so --n > 1 is rejected

Official references:

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-imagine sends local refs as Data URLs
Official docs recommend front-facing portrait references in JPG/JPEG/PNG under 10MB

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

Replicate support in baoyu-imagine is intentionally scoped to the model families that the tool can validate locally and save without dropping outputs:

google/nano-banana* (default: google/nano-banana-2)
- Supports prompt-only and reference-image generation
- Uses Replicate aspect_ratio, resolution, and output_format
- --size <WxH> is accepted only as a shorthand for a documented aspect ratio plus 1K / 2K
bytedance/seedream-4.5
- Supports prompt-only and reference-image generation
- Uses Replicate size, aspect_ratio, and image_input
- Local validation blocks unsupported 1K requests before the API call
bytedance/seedream-5-lite
- Supports prompt-only and reference-image generation
- Uses Replicate size, aspect_ratio, and image_input
- Local validation currently accepts 2K / 3K only
wan-video/wan-2.7-image
- Supports prompt-only and reference-image generation
- Uses Replicate size and images
- Max output size is 2K
wan-video/wan-2.7-image-pro
- Supports prompt-only and reference-image generation
- Uses Replicate size and images
- 4K is allowed only for text-to-image; local validation blocks 4K + --ref

Guardrails:

Replicate currently supports only single-output save semantics in this tool. Keep --n 1.
If a Replicate model is outside the compatibility list above, baoyu-imagine only treats it as prompt-only and rejects advanced local options instead of guessing a nano-banana-style schema.

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 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)
Only one API key available → use that provider
Multiple available → default to Google, then OpenAI, Azure, OpenRouter, DashScope, Z.AI, MiniMax, Replicate, Jimeng, Seedream

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: behavior is model-family-specific. google/nano-banana* uses aspect_ratio; bytedance/seedream-* uses documented Replicate aspect ratios; Wan 2.7 maps --ar to a concrete size
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.

25 KiB Raw Blame History

Image Generation (AI SDK)

Script Directory

Step 0: Load Preferences ⛔ BLOCKING

Usage

Batch File Format

Options

Environment Variables

Model Resolution

OpenAI-Compatible Gateway Dialects

DashScope Models

Z.AI Models

MiniMax Models

OpenRouter Models

Replicate Models

Provider Selection

Quality Presets

Aspect Ratios

Generation Mode

Error Handling

Extension Support

25 KiB

Raw Blame History