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alicloud-ai-image-qwen-image-edit

by @ciniencev
4.7(38)

Perform image editing using the Qwen Image Edit model in Alibaba Cloud AI Model Studio.

Alibaba Cloud AIQwen Image EditingAI Image GenerationImage ManipulationComputer VisionGitHub
Installation
npx skills add cinience/alicloud-skills --skill alicloud-ai-image-qwen-image-edit
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Before / After Comparison

1
Before

Manually performing image editing and modifications is time-consuming and requires professional skills.

After

With the alicloud-ai-image-qwen-image-edit skill, leveraging the Qwen image editing model, achieve AI-driven intelligent image editing, enhancing efficiency and creativity.

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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Rating4.7 / 5.0
Version
Updated2026年3月17日
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Compatible Platforms

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

Timeline

Created2026年3月17日
Last Updated2026年3月17日