Category: provider Model Studio Qwen Image Edit Validation mkdir -p output/alicloud-ai-image-qwen-image-edit python -m py_compile skills/ai/image/alicloud-ai-image-qwen-image-edit/scripts/prepare_edit_request.py && echo "py_compile_ok"
output/alicloud-ai-image-qwen-image-edit/validate.txt Pass criteria: command exits 0 and output/alicloud-ai-image-qwen-image-edit/validate.txt is generated. Output And Evidence Save edit request payloads, result URLs, and model parameters under output/alicloud-ai-image-qwen-image-edit/ . Keep one sample request/response pair for reproducibility. Use Qwen Image Edit models for instruction-based image editing instead of text-to-image generation. Critical model names Use one of these exact model strings: qwen-image-edit qwen-image-edit-plus qwen-image-edit-max qwen-image-edit-plus-2025-12-15 qwen-image-edit-max-2026-01-16 Prerequisites Install SDK in a virtual environment: python3 -m venv .venv . .venv/bin/activate python -m pip install dashscope Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials . Normalized interface (image.edit) Request prompt (string, required) image (string | bytes, required) source image URL/path/bytes mask (string | bytes, optional) inpaint region mask size (string, optional) e.g. 1024*1024 seed (int, optional) Response image_url (string) seed (int) request_id (string) Operational guidance Keep prompts task-oriented: describe what to change and what to preserve. Use masks for deterministic local edits. Save output assets to object storage and persist only URLs. For subject consistency, provide explicit constraints in prompt. Local helper script Prepare a normalized request JSON and validate response schema: .venv/bin/python skills/ai/image/alicloud-ai-image-qwen-image-edit/scripts/prepare_edit_request.py \ --prompt "Replace the sky with sunset, keep buildings unchanged" \ --image "https://example.com/input.png" Output location Default output: output/alicloud-ai-image-qwen-image-edit/images/ Override base dir with OUTPUT_DIR . Workflow Confirm user intent, region, identifiers, and whether the operation is read-only or mutating. Run one minimal read-only query first to verify connectivity and permissions. Execute the target operation with explicit parameters and bounded scope. Verify results and save output/evidence files. References references/sources.md