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alicloud-ai-image-qwen-image-edit

by @ciniencev
4.7(38)

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。

Alibaba Cloud AIQwen Image EditingAI Image GenerationImage ManipulationComputer VisionGitHub
インストール方法
npx skills add cinience/alicloud-skills --skill alicloud-ai-image-qwen-image-edit
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Before / After 効果比較

1
使用前

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。

使用後

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_KEY in your environment, or add dashscope_api_key to ~/.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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統計データ

インストール数1.2K
評価4.7 / 5.0
バージョン
更新日2026年3月17日
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対応プラットフォーム

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

タイムライン

作成2026年3月17日
最終更新2026年3月17日