# Usage Examples Extended CLI examples. SKILL.md shows the minimum set; read this file when the user asks about provider-specific invocation, batch generation, or less-common flags. ## Core Patterns ```bash # Basic text-to-image ${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 # Prompt from files ${BUN_X} {baseDir}/scripts/main.ts --promptfiles system.md content.md --image out.png # With reference images (any provider family that supports refs) ${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png ``` ## Per-Provider ```bash # OpenAI ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openai # Azure OpenAI (model = deployment name) ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider azure --model gpt-image-1.5 # Google with explicit 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) ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openrouter # OpenRouter with reference ${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 # DashScope (default model) ${BUN_X} {baseDir}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope # DashScope Qwen-Image 2.0 Pro (custom size, Chinese text) ${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 fixed-size ${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 with 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" --image out.jpg --provider minimax # MiniMax with subject reference (character/portrait consistency) ${BUN_X} {baseDir}/scripts/main.ts --prompt "A girl by the library window" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9 # 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 ```bash # Batch from saved prompt files ${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json # Batch with explicit worker count ${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json --jobs 4 --json ``` ### Batch File Format ```json { "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`). A top-level array without the `jobs` wrapper is also accepted.