name: alicloud-ai-image-qwen-image-edit description: Edit images with Alibaba Cloud Model Studio Qwen Image Edit models (qwen-image-edit, qwen-image-edit-plus, qwen-image-edit-max and snapshots). Use when modifying existing images (inpaint, replace, style transfer, local edits), preserving subject consistency, or documenting image edit request/response mappings. version: 1.0.0

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
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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

1) Confirm user intent, region, identifiers, and whether the operation is read-only or mutating. 2) Run one minimal read-only query first to verify connectivity and permissions. 3) Execute the target operation with explicit parameters and bounded scope. 4) Verify results and save output/evidence files.

References

• references/sources.md

這個 Skill 質量中規中矩，文件結構清晰、介面定義明確這點做得不錯，驗證流程也規範。不足之處是缺少實際使用示例，只有乾巴巴的配置說明；另外參考資料也比較單薄，沒有太多補充內容。整體上功能覆蓋完整，但文件的實用性和可操作性可以進一步加強。普通使用者使用時可能需要額外查閱官方文件才能完全上手。推薦指數：★★★☆☆