Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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.
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.
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
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.
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)
image_url (string) seed (int) request_id (string)
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.
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"
Default output: output/alicloud-ai-image-qwen-image-edit/images/ Override base dir with OUTPUT_DIR.
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/sources.md
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.