基于 Model Studio DashScope SDK 调用 Qwen Image 系列模型生成图片
设计与多媒体
Alibaba Cloud AI Image Qwen Image Edit
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 modif...
它能做什么
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 modif...
技能文档
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-editqwen-image-edit-plusqwen-image-edit-maxqwen-image-2.0qwen-image-2.0-proqwen-image-edit-plus-2025-12-15qwen-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_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials.
Normalized interface (image.edit)
Request
prompt(string, required)image(string | bytes, required) source image URL/path/bytesmask(string | bytes, optional) inpaint region masksize(string, optional) e.g.1024*1024seed(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
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