Install
openclaw skills install alicloud-ai-image-qwen-image-editEdit images with Alibaba Cloud Model Studio Qwen Image Edit models (qwen-image-edit, qwen-image-edit-plus, qwen-image-edit-max and snapshots). Use when modifying existing images (inpaint, replace, style transfer, local edits), preserving subject consistency, or documenting image edit request/response mappings.
openclaw skills install alicloud-ai-image-qwen-image-editCategory: provider
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/alicloud-ai-image-qwen-image-edit/.Use Qwen Image Edit models for instruction-based image editing instead of text-to-image generation.
Use one of these exact model strings:
qwen-image-editqwen-image-edit-plusqwen-image-edit-maxqwen-image-2.0qwen-image-2.0-proqwen-image-edit-plus-2025-12-15qwen-image-edit-max-2026-01-16python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.prompt (string, required)image (string | bytes, required) source image URL/path/bytesmask (string | bytes, optional) inpaint region masksize (string, optional) e.g. 1024*1024seed (int, optional)image_url (string)seed (int)request_id (string)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/alicloud-ai-image-qwen-image-edit/images/OUTPUT_DIR.references/sources.md