alicloud-ai-image-qwen-image-edit
Alibaba Cloud AIモデルスタジオでQwen Image Editモデルを使用して画像編集を行います。
npx skills add cinience/alicloud-skills --skill alicloud-ai-image-qwen-image-editBefore / After 効果比較
1 组手動での画像編集や修正は時間がかかり、専門的なスキルが必要です。
alicloud-ai-image-qwen-image-editスキルを活用し、Qwen画像編集モデルを利用することで、AI駆動のスマートな画像編集を実現し、効率と創造性を向上させます。
description SKILL.md
alicloud-ai-image-qwen-image-edit
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-2.0 -
qwen-image-2.0-pro -
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_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/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
Weekly Installs252Repositorycinience/alicloud-skillsGitHub Stars357First SeenFeb 26, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled onopencode249gemini-cli248github-copilot248codex248kimi-cli248amp248
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