alicloud-ai-image-qwen-image
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 consistentimage.generateinterface - Normalized request parameters include prompt, negative_prompt, size (WxH format), optional style, seed, and reference_image for reproducibility and conditional generation
- Requires
DASHSCOPE_API_KEYenvironment 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.
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