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BytesAgain β€Ί Skills β€Ί Aliyun Qwen Image Edit
πŸ¦€ ClawHub

Aliyun Qwen Image Edit

by @cinience

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 se...

Versionv1.0.0
Downloads721
#devops#image-gen#legal#gaming
TERMINAL
clawhub install aliyun-qwen-image-edit

πŸ“– About This Skill

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.

    References

  • references/sources.md

    • βš™οΈ Configuration

  • 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.

    • πŸ”’ Constraints

    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.