alicloud-ai-image-qwen-image

SKILL.md

Generate images using Qwen models via Alibaba DashScope SDK with normalized request/response mapping.

Supports four Qwen image generation models: qwen-image, qwen-image-plus, qwen-image-max, and versioned snapshots with consistent image.generate interface

Normalized request parameters include prompt, negative_prompt, size (WxH format), optional style, seed, and reference_image for reproducibility and conditional generation

Requires DASHSCOPE_API_KEY environment variable or credentials file; includes Python SDK helper script for local testing and batch image generation

Built for video-agent pipeline integration with standardized input/output mapping, error handling for rate limits and auth failures, and guidance on caching and object storage workflows

Category: provider

Model Studio Qwen Image

Validation

mkdir -p output/alicloud-ai-image-qwen-image
python -m py_compile skills/ai/image/alicloud-ai-image-qwen-image/scripts/generate_image.py && echo "py_compile_ok" > output/alicloud-ai-image-qwen-image/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-image-qwen-image/validate.txt is generated.

Output And Evidence

Write generated image URLs, prompts, and metadata to output/alicloud-ai-image-qwen-image/.

Keep at least one sample JSON response per run.

Build consistent image generation behavior for the video-agent pipeline by standardizing image.generate inputs/outputs and using DashScope SDK (Python) with the exact model name.