Detalle del Skill
qianwen-image-generation
Genera y edita imágenes con los modelos Wan y Qwen Image, con soporte para texto a imagen, transferencia de estilo, consistencia del sujeto, composición de varias imágenes y renderizado de texto.
Necesita (declarado): Python
Revisar antes de usar
La revisión automática comprueba relevancia, no seguridad ni respaldo. Lee las instrucciones de la fuente antes de usar este Skill.
SKILL.md
Este extracto es una copia guardada durante la revisión. La fuente externa contiene la versión completa y actual.
---
name: qianwen-image-generation
description: "Generate and edit images using Wan and Qwen Image models. Supports text-to-image, image editing (style transfer, subject consistency, text rendering), and interleaved text-image output. TRIGGER when: user wants to create illustrations, product images, artistic designs, posters, text-to-image generation, edit/transform existing images, apply style transfer, generate images based on reference photos, interleaved text-image content, mentions Wan/Qwen Image models/AI art creation, or explicitly invokes this skill by name (e.g. use qianwen-image-generation). DO NOT TRIGGER when: user wants to understand/analyze existing images or OCR (use qianwen-vision), video generation (use qianwen-video-generation), text-only tasks."
compatibility: "Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use."
---
# Qwen Image Generation
Generate and edit images using Wan and Qwen Image models. Supports text-to-image, reference-image editing (style
transfer, subject consistency, multi-image composition, text rendering), and interleaved text-image output.
This skill is part of **QianWen-AI/qianwen-ai**.
## Skill directory
Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details.
| Location | Purpose |
|----------|---------|
| `scripts/image.py` | Default execution — sync/async, upload, download |
| `references/execution-guide.md` | Fallback: curl (sync/async), code generation |
| `references/prompt-guide.md` | Prompt formulas, style keywords, negative_prompt, prompt_extend decision |
| `references/api-guide.md` | API supplement |
| `references/sources.md` | Official documentation URLs |
## Security
**NEVER output any API key or credential in plaintext.** Always use variable references (`$DASHSCOPE_API_KEY` in shell, `os.environ["DASHSCOPE_API_KEY"]` in Python). Any check or detection of credentials must be **non-plaintext**: report only status (e.g. "set" / "not set", "valid" / "invalid"), never the value. Never display contents of `.env` or config files that may contain secrets.
**When the API key is not configured, NEVER ask the user to provide it directly.** Instead, help create a `.env` file with a placeholder (`DASHSCOPE_API_KEY=sk-your-key-here`) and instruct the user to replace it with their actual key from the [QianWen Console](https://platform.qianwenai.com/home/api-keys). Only write the actual key value if the user explicitly requests it.
## Key Compatibility
Both PAYG (`sk-ws-...`; legacy `sk-...`) and Token Plan (`sk-sp-...`) keys are supported. Detect
the API key type without exposing the Key:
```bash
python3 -c "
import sys; sys.path.insert(0, 'scripts')
from qianwen_lib import detect_api_key_type
print(detect_api_key_type('scripts/qianwen_lib.py'))
"
```
| Output | Meaning |
|--------|---------|
| `token-plan` | Token Plan key — use only models from the Token Plan catalog below. |
| `payg` | Pay-as-you-go key — full model catalog available. |
| `not-set` | No key configured. |
For Token Plan, fetch and read the current [Token Plan model catalog](https://alioth.alicdn.com/skills-info/models/references/qianwen-token-plan-models.md), then use an exact listed model. If CDN access fails, use the [local fallback](cdn/references/qianwen-token-plan-models.md).
Token Plan does not support local file upload; for i2i mode, provide reference images as accessible
URLs (`https://` or `oss://`) rather than local paths.
Token Plan supports only specific models — use exactly a model from the references above; do not
guess or probe model availability. For PAYG, continue below.
## Mode Selection Guide
1. **User specified a model** → use directly.
2. **Consult the qianwen-model-selector skill** when model choice depends on requirement, scenario, or pricing.
Before choosing a mode or selecting, recommending, or defaulting a model, fetch and read the current [QwenLeer la fuente completa en GitHub (abre una página externa)