/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 series and snapshots). Use when modifying existing images (inpaint, replace, style transfer, local edits), preserving

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cinience@cinience

GitHub

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alicloud-skills

39799 skills

Install

$ npx -y skills add cinience/alicloud-skills --skill aliyun-qwen-image-edit --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/aliyun-qwen-image-edit

Context preview

The summary Claude sees to decide when to auto-load this skill.

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 series and snapshots). Use when modifying existing images (inpaint, replace, style transfer, local edits), preserving

SKILL.md

aliyun-qwen-image-edit.SKILL.md

name: aliyun-qwen-image-edit
description: 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 series 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/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-edit`
`qwen-image-edit-plus`
`qwen-image-edit-max`
`qwen-image-2.0`
`qwen-image-2.0-pro`
`qwen-image-2.0-2026-03-03`
`qwen-image-2.0-pro-2026-03-03`
`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/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

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.