Edit images with Alibaba Cloud Model Studio Qwen Image Edit Max (qwen-image-edit-max). Use when modifying existing images (inpaint, replace, style transfer, local edits), preserving subject consistency, or documenting image edit request/response mappings.
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill alicloud-ai-image-qwen-image-edit --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Alicloud Ai Image Qwen Image Edit?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/modbender-alicloud-ai-image-qwen-image-edit)More formats (shields.io, HTML) on the badges page.
---
name: alicloud-ai-image-qwen-image-edit
description: Edit images with Alibaba Cloud Model Studio Qwen Image Edit Max (qwen-image-edit-max). Use when modifying existing images (inpaint, replace, style transfer, local edits), preserving subject consistency, or documenting image edit request/response mappings.
---
Category: provider
# Model Studio Qwen Image Edit
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-max`
- `qwen-image-edit-max-2026-01-16`
## Prerequisites
- Install SDK in a virtual environment:
```bash
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:
```bash
.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/ai-image-qwen-image-edit/images/`
- Override base dir with `OUTPUT_DIR`.
## References
- `references/sources.md`
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!