RRepoGEO

REPOGEO REPORT · LITE

QwenLM/Qwen-Image

Default branch main · commit 6b5e1f5c · scanned 6/25/2026, 12:47:40 AM

GitHub: 8,046 stars · 506 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)

3 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, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    image-generation, text-to-image, image-editing, generative-ai, foundation-model, multimodal, deep-learning, qwen
  • highreadme#2
    Strengthen the README's introductory positioning

    Why:

    CURRENT
    We are thrilled to release **Qwen-Image**, a 20B MMDiT image foundation model that achieves significant advances in **complex text rendering** and **precise image editing**. Experiments show strong general capabilities in both
    COPY-PASTE FIX
    **Qwen-Image** is a powerful 20B MMDiT image foundation model, excelling in **complex text rendering** and **precise image editing**. It offers strong general capabilities for both text-to-image generation and advanced image manipulation.
  • mediumhomepage#3
    Add a project homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    https://qwenlm.github.io/blog/qwen-image/

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
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DALL-E 3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DALL-E 3 · recommended 2×
  2. Midjourney v6 · recommended 1×
  3. Stable Diffusion XL (SDXL) 1.0 · recommended 1×
  4. Adobe Firefly · recommended 1×
  5. Ideogram AI · recommended 1×
  • CATEGORY QUERY
    What AI model can generate images and accurately render complex text within them?
    you: not recommended
    AI recommended (in order):
    1. DALL-E 3
    2. Midjourney v6
    3. Stable Diffusion XL (SDXL) 1.0
    4. Adobe Firefly
    5. Ideogram AI

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for a powerful image AI for precise editing and manipulation of existing images.
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. Midjourney
    3. Stable Diffusion
    4. RunwayML
    5. DALL-E 3
    6. Clipdrop
    7. Fotor

    AI recommended 7 alternatives but never named QwenLM/Qwen-Image. 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?
    pass
    AI named QwenLM/Qwen-Image 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 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named QwenLM/Qwen-Image 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 solve, and who is the primary audience?
    pass
    AI named QwenLM/Qwen-Image explicitly

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

Embed your GEO score

Drop this badge into the README of QwenLM/Qwen-Image. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/QwenLM/Qwen-Image"><img src="https://repogeo.com/badge/QwenLM/Qwen-Image.svg" alt="RepoGEO" /></a>
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QwenLM/Qwen-Image — 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