alicloud-ai-image-qwen-image-edit
Edit 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 series and snapshots). Use when modifying existing images (inpaint, replace, style transfer, local edits), preserving subject consistency, or documenting image edit request/response mappings.
How do I install this agent skill?
npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-image-qwen-image-editIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill provides a standard interface for image editing using Alibaba Cloud's Qwen models. It includes a helper script for preparing request payloads and validating responses, follow standard practices for managing credentials and dependencies.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
4/4 files flagged
What does this agent skill do?
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-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/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
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/cinience/alicloud-skills/alicloud-ai-image-qwen-image-edit">View alicloud-ai-image-qwen-image-edit on skillZs</a>