/install aliyun-qwen-image-edit
Category: provider
Model Studio Qwen Image Edit
Validation
mkdir -p output/aliyun-qwen-image-edit
python -m py_compile skills/ai/image/aliyun-qwen-image-edit/scripts/prepare_edit_request.py && echo "py_compile_ok" > output/aliyun-qwen-image-edit/validate.txt
Pass criteria: command exits 0 and output/aliyun-qwen-image-edit/validate.txt is generated.
Output And Evidence
- Save edit request payloads, result URLs, and model parameters under
output/aliyun-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-editqwen-image-edit-plusqwen-image-edit-maxqwen-image-2.0qwen-image-2.0-proqwen-image-2.0-2026-03-03qwen-image-2.0-pro-2026-03-03qwen-image-edit-plus-2025-12-15qwen-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_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials.
Normalized interface (image.edit)
Request
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)
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/aliyun-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/aliyun-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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install aliyun-qwen-image-edit - After installation, invoke the skill by name or use
/aliyun-qwen-image-edit - Provide required inputs per the skill's parameter spec and get structured output
What is Aliyun Qwen Image Edit?
Use when editing images with Alibaba Cloud Model Studio Qwen Image Edit models (qwen-image-edit, qwen-image-edit-plus, qwen-image-edit-max, qwen-image-2.0 se... It is an AI Agent Skill for Claude Code / OpenClaw, with 127 downloads so far.
How do I install Aliyun Qwen Image Edit?
Run "/install aliyun-qwen-image-edit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Aliyun Qwen Image Edit free?
Yes, Aliyun Qwen Image Edit is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Aliyun Qwen Image Edit support?
Aliyun Qwen Image Edit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Aliyun Qwen Image Edit?
It is built and maintained by cinience (@cinience); the current version is v1.0.0.