alicloud-ai-image-qwen-image-edit
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Edit images with Alibaba Cloud Model Studio Qwen Image Edit Max (qwen-image-edit-max). Use when modifying existing images (inpaint, replace, style transfer, local edits), preserving subject consistency, or documenting image edit request/response mappings.
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Sourcecinience/alicloud-skills
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NPX Install
npx skill4agent add cinience/alicloud-skills alicloud-ai-image-qwen-image-editTags
Translated version includes tags in frontmatterSKILL.md Content
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Model Studio Qwen Image Edit
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-maxqwen-image-edit-max-2026-01-16
Prerequisites
- Install SDK in a virtual environment:
bash
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope- Set in your environment, or add
DASHSCOPE_API_KEYtodashscope_api_key.~/.alibabacloud/credentials
Normalized interface (image.edit)
Request
- (string, required)
prompt - (string | bytes, required) source image URL/path/bytes
image - (string | bytes, optional) inpaint region mask
mask - (string, optional) e.g.
size1024*1024 - (int, optional)
seed
Response
- (string)
image_url - (int)
seed - (string)
request_id
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:
bash
.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/ai-image-qwen-image-edit/images/ - Override base dir with .
OUTPUT_DIR
References
references/sources.md