{"id":"3f91b63d-c291-40d7-a80c-775976bc2c1c","shortId":"SkvyTN","kind":"skill","title":"imagen-qwen","tagline":"Use when generating images with Alibaba Cloud Bailian API, especially for Chinese text rendering or photorealistic images","description":"# Imagen-Qwen - Alibaba Cloud Bailian Text-to-Image Skill\n\n## Overview\n\nGenerate images using Alibaba Cloud Bailian API. **Default endpoint is China region**.\n\nSupports three model families:\n- **Qwen-Image 2.0** (latest, native 2K): Flagship general-purpose generator with strong text rendering\n- **Qwen-Image legacy**: Lighter Chinese/English text rendering models\n- **Wan Series**: Photorealistic images and photography-grade visuals (Wan2.7 supports up to 4K)\n\n**Cross-platform support**: Windows, macOS, Linux\n\n## When to Use This Skill\n\nAutomatically activate this skill when:\n- User requests image generation with Chinese text or calligraphy\n- Need photorealistic images or photography-style visuals\n- Creating commercial posters, illustrations, or digital art\n- User explicitly requests Alibaba Cloud / Bailian / Qwen / Wan models\n- Any task where AI-generated image with strong Chinese support would be helpful\n\n## Workflow\n\n0. **Auto-update (first use per conversation)** — silently keep the skill current. Check the timestamp of `<this-skill-dir>/.last_update`. If the file is missing or older than 24 hours, run:\n\n   ```bash\n   git -C <this-skill-dir> pull --ff-only && date +%s > <this-skill-dir>/.last_update\n   ```\n\n   If the pull fails (offline, conflict, not a git checkout, etc.), ignore the error and continue normally. Do not mention the update to the user unless they ask.\n\n1. Pick a model based on the request (see Model Selection Guide below). Default to `qwen-image-2.0-pro` if unsure.\n2. Pick a size: native 2K for the Qwen-Image 2.0 family, `1K`/`2K`/`4K` for Wan2.7, or an aspect-ratio preset (`16:9`, `1:1`, etc.).\n3. Run `scripts/generate_image.py` with the prompt and output path.\n4. If the output path was implicit, save into the user's current working directory.\n\n## Models\n\n### Qwen-Image 2.0 family - Latest Flagship (MultiModalConversation API)\n\n| Model | Description |\n|-------|-------------|\n| `qwen-image-2.0-pro` | **Default**. Latest flagship, native 2K, strongest typography and detail |\n| `qwen-image-2.0` | Standard 2.0 tier, native 2K |\n| `qwen-image-max` | Previous-gen flagship (Dec 2025) |\n\n### Qwen-Image legacy (ImageSynthesis API)\n\n| Model | Description |\n|-------|-------------|\n| `qwen-image-plus` | Distilled accelerated version of qwen-image-max |\n| `qwen-image` | Base model |\n\n### Wan Series - Photorealistic Generation (ImageGeneration API)\n\n| Model | Description |\n|-------|-------------|\n| `wan2.7-image-pro` | **Latest**. Up to 4K output, unified architecture (T2I + edit + multi-image) |\n| `wan2.7-image` | Wan 2.7 standard, up to 2K |\n| `wan2.6-t2i` | Wan 2.6, flexible sizing |\n| `wan2.5-t2i-preview` | High quality, up to 768x2700 |\n| `wan2.2-t2i-flash` | Speed-optimized |\n| `wan2.2-t2i-plus` | Professional tier |\n| `wanx2.1-t2i-turbo` | Fast execution |\n| `wanx2.1-t2i-plus` | Professional tier |\n| `wanx2.0-t2i-turbo` | Earlier generation |\n\n## Usage\n\n### Basic Usage\n\n```bash\n# Default model (qwen-image-2.0-pro, native 2K output)\npython ~/.claude/skills/imagen-qwen/scripts/generate_image.py \"A cute cat\" output.png\n\n# Photorealistic with Wan model (Wan2.7 supports 4K)\npython ~/.claude/skills/imagen-qwen/scripts/generate_image.py --model wan2.7-image-pro --size 4K \"Realistic photo of mountains at sunset\" photo.png\n```\n\n### Size Options\n\n```bash\n# Use ratio preset\npython ~/.claude/skills/imagen-qwen/scripts/generate_image.py --size 16:9 \"Wide landscape\" landscape.png\n\n# Use exact dimensions\npython ~/.claude/skills/imagen-qwen/scripts/generate_image.py --size 1280*720 \"Custom size\" custom.png\n```\n\n### Size Presets\n\n**Qwen-Image 2.0 (native 2K):**\n- `1:1` -> 2048x2048 (default)\n- `16:9` -> 2688x1536\n- `9:16` -> 1536x2688\n- `4:3` -> 2304x1728\n- `3:4` -> 1728x2304\n- `1K` -> 1024x1024\n- `2K` -> 2048x2048\n\n**Qwen-Image legacy:**\n- `1:1` -> 1328x1328\n- `16:9` -> 1664x928\n- `9:16` -> 928x1664\n- `4:3` -> 1472x1104\n- `3:4` -> 1104x1472\n\n**Wan Series (Wan2.7 also accepts `1K`/`2K`/`4K`):**\n- `1:1` -> 1024x1024\n- `1:1-large` -> 1280x1280\n- `16:9` -> 1280x720\n- `9:16` -> 720x1280\n- `4:3` -> 1200x900\n- `3:4` -> 900x1200\n- `2:1` -> 1440x720\n\n### Advanced Options\n\n```bash\n# With negative prompt\npython ~/.claude/skills/imagen-qwen/scripts/generate_image.py --negative \"blurry, low quality\" \"High quality portrait\" portrait.png\n\n# List all models\npython ~/.claude/skills/imagen-qwen/scripts/generate_image.py --list-models\n```\n\n## Requirements\n\n```bash\npip install dashscope requests\n```\n\n## Environment Variables\n\n```bash\n# Required - Alibaba Cloud Bailian API Key\nexport DASHSCOPE_API_KEY=\"your_api_key\"\n\n# Optional - Set default model\nexport DASHSCOPE_MODEL=\"wan2.7-image-pro\"\n\n# Optional - Set API endpoint (default: China)\nexport DASHSCOPE_API_BASE=\"cn\"  # or full URL\n```\n\nGet API Key: https://bailian.console.aliyun.com/\n\n## API Endpoints\n\n| Region | Alias | URL |\n|--------|-------|-----|\n| **China** (default) | `cn` | `https://dashscope.aliyuncs.com/api/v1` |\n| Singapore | `sg` | `https://dashscope-intl.aliyuncs.com/api/v1` |\n| Virginia | `us` | `https://dashscope-us.aliyuncs.com/api/v1` |\n\n```bash\n# Switch to Singapore endpoint\nexport DASHSCOPE_API_BASE=\"sg\"\n\n# Or use full URL\nexport DASHSCOPE_API_BASE=\"https://dashscope-intl.aliyuncs.com/api/v1\"\n```\n\n## Model Selection Guide\n\n| Use Case | Recommended Model |\n|----------|-------------------|\n| General high-quality (default) | `qwen-image-2.0-pro` |\n| Chinese text/calligraphy | `qwen-image-2.0-pro` |\n| English text on images | `qwen-image-2.0-pro` |\n| Posters with typography | `qwen-image-2.0-pro` |\n| Photorealistic photos (4K) | `wan2.7-image-pro` |\n| Photorealistic photos (2K) | `wan2.7-image` |\n| Portrait photography | `wan2.7-image-pro` |\n| Fast generation | `wan2.2-t2i-flash` |\n| Lower-cost text rendering | `qwen-image-plus` |\n\n## Comparison with Imagen (Gemini)\n\n| Feature | Imagen-Qwen (Bailian) | Imagen (Gemini) |\n|---------|-------------------|-----------------|\n| Chinese text rendering | Excellent | Good |\n| English text rendering | Excellent | Good |\n| Photorealistic images | Excellent | Good |\n| Speed | Medium | Fast |\n| Model variety | 14 models | 3 models |\n| Max resolution | 4K (Wan2.7-Pro) | 2K |\n\n## Examples\n\n### Chinese New Year Poster\n```bash\npython ~/.claude/skills/imagen-qwen/scripts/generate_image.py \\\n  \"A beautiful Chinese New Year poster with red background, golden text, fireworks and firecrackers\" \\\n  new_year_poster.png\n```\n\n### Photorealistic Landscape (4K)\n```bash\npython ~/.claude/skills/imagen-qwen/scripts/generate_image.py \\\n  --model wan2.7-image-pro \\\n  --size 4K \\\n  \"Breathtaking sunset over mountain range, golden hour, professional photography\" \\\n  landscape.png\n```\n\n### Product Shot\n```bash\npython ~/.claude/skills/imagen-qwen/scripts/generate_image.py \\\n  --model wan2.7-image \\\n  --size 2K \\\n  \"Professional product photography of a coffee cup on marble surface, studio lighting\" \\\n  product.png\n```","tags":["imagen","qwen","agents365-ai","agent-skills","ai-art","alibaba-cloud","claude-code","claude-code-skill","claude-skills","dashscope","image-generation","openclaw"],"capabilities":["skill","source-agents365-ai","skill-imagen-qwen","topic-agent-skills","topic-ai-art","topic-alibaba-cloud","topic-claude-code","topic-claude-code-skill","topic-claude-skills","topic-dashscope","topic-image-generation","topic-openclaw","topic-openclaw-skills","topic-skill-md","topic-skillsmp"],"categories":["imagen-qwen"],"synonyms":[],"warnings":[],"endpointUrl":"https://skills.sh/Agents365-ai/imagen-qwen","protocol":"skill","transport":"skills-sh","auth":{"type":"none","details":{"cli":"npx skills add Agents365-ai/imagen-qwen","source_repo":"https://github.com/Agents365-ai/imagen-qwen","install_from":"skills.sh"}},"qualityScore":"0.454","qualityRationale":"deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (6,902 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