RRepoGEO

REPOGEO REPORT · LITE

QwenLM/Qwen-Image-Layered

Default branch main · commit 54c4fe47 · scanned 5/19/2026, 6:02:19 PM

GitHub: 1,872 stars · 146 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface QwenLM/Qwen-Image-Layered, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    image-decomposition, image-editing, multi-modal-ai, qwen, deep-learning, computer-vision, generative-ai, ai-model
  • highreadme#2
    Reposition the README's introduction to clarify it's an AI model for developers

    Why:

    CURRENT
    We are excited to introduce **Qwen-Image-Layered**, a model capable of decomposing an image into multiple RGBA layers.
    COPY-PASTE FIX
    We are excited to introduce **Qwen-Image-Layered**, an advanced AI model for developers and researchers, capable of decomposing an image into multiple RGBA layers.
  • mediumhomepage#3
    Add the research paper URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2512.15603

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface QwenLM/Qwen-Image-Layered
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Photoshop
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Photoshop · recommended 2×
  2. Affinity Photo · recommended 2×
  3. GIMP · recommended 2×
  4. Photopea · recommended 1×
  5. Canva · recommended 1×
  • CATEGORY QUERY
    How to edit specific objects in an image without impacting other content?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. Affinity Photo
    3. GIMP
    4. Photopea
    5. Canva
    6. Pixelmator Pro

    AI recommended 6 alternatives but never named QwenLM/Qwen-Image-Layered. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for decomposing images into RGBA layers for independent manipulation and editing?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. GIMP
    3. Affinity Photo
    4. Krita
    5. Paint.NET

    AI recommended 5 alternatives but never named QwenLM/Qwen-Image-Layered. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of QwenLM/Qwen-Image-Layered?
    pass
    AI named QwenLM/Qwen-Image-Layered explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts QwenLM/Qwen-Image-Layered in production, what risks or prerequisites should they evaluate first?
    pass
    AI named QwenLM/Qwen-Image-Layered explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo QwenLM/Qwen-Image-Layered solve, and who is the primary audience?
    pass
    AI named QwenLM/Qwen-Image-Layered explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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QwenLM/Qwen-Image-Layered — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite