alicloud-ai-image-qwen-image-edit

cinience/alicloud-skills · updated Apr 8, 2026

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-image-qwen-image-edit
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summary

Category: provider

skill.md

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-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/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

  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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.666 reviews
  • Li Bhatia· Dec 24, 2024

    Keeps context tight: alicloud-ai-image-qwen-image-edit is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Michael Garcia· Dec 20, 2024

    We added alicloud-ai-image-qwen-image-edit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Aarav Huang· Dec 16, 2024

    Keeps context tight: alicloud-ai-image-qwen-image-edit is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chen Li· Dec 12, 2024

    alicloud-ai-image-qwen-image-edit is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Pratham Ware· Dec 8, 2024

    alicloud-ai-image-qwen-image-edit reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Aarav Johnson· Dec 8, 2024

    alicloud-ai-image-qwen-image-edit has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Isabella Jain· Dec 8, 2024

    Solid pick for teams standardizing on skills: alicloud-ai-image-qwen-image-edit is focused, and the summary matches what you get after install.

  • Fatima Reddy· Dec 4, 2024

    alicloud-ai-image-qwen-image-edit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yash Thakker· Nov 27, 2024

    I recommend alicloud-ai-image-qwen-image-edit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aarav Chen· Nov 27, 2024

    Solid pick for teams standardizing on skills: alicloud-ai-image-qwen-image-edit is focused, and the summary matches what you get after install.

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