RRepoGEO

REPOGEO REPORT · LITE

nftblackmagic/catvton-flux

Default branch main · commit 59dd1653 · scanned 6/9/2026, 10:57:51 AM

GitHub: 613 stars · 60 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 nftblackmagic/catvton-flux, 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

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

OVERALL DIRECTION
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    A state-of-the-art virtual try-on solution combining CATVTON and Flux inpainting for realistic clothing transfer and reconstruction.
  • mediumreadme#2
    Enhance the README's main heading (H1)

    Why:

    CURRENT
    # catvton-flux
    COPY-PASTE FIX
    # catvton-flux: State-of-the-Art Virtual Try-On with Diffusion Models

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 nftblackmagic/catvton-flux
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DALL-E 2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DALL-E 2 · recommended 2×
  2. StyleGAN-XL · recommended 1×
  3. Stable Diffusion · recommended 1×
  4. GLIDE · recommended 1×
  5. Imagen · recommended 1×
  • CATEGORY QUERY
    Seeking an AI solution for realistic virtual clothing try-on with diffusion models.
    you: not recommended
    AI recommended (in order):
    1. StyleGAN-XL
    2. Stable Diffusion
    3. GLIDE
    4. DALL-E 2
    5. Imagen

    AI recommended 5 alternatives but never named nftblackmagic/catvton-flux. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a tool to extract and reconstruct clothing items from images for virtual try-on.
    you: not recommended
    AI recommended (in order):
    1. DeepMotion
    2. CLO3D
    3. Marvelous Designer
    4. Adobe Substance 3D Sampler
    5. Adobe Substance 3D Designer
    6. OpenPose
    7. Open3D
    8. PyTorch3D
    9. StyleGAN
    10. DALL-E 2
    11. Midjourney

    AI recommended 11 alternatives but never named nftblackmagic/catvton-flux. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 nftblackmagic/catvton-flux?
    pass
    AI did not name nftblackmagic/catvton-flux — likely talking about a different project

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

  • If a team adopts nftblackmagic/catvton-flux in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nftblackmagic/catvton-flux 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 nftblackmagic/catvton-flux solve, and who is the primary audience?
    pass
    AI did not name nftblackmagic/catvton-flux — likely talking about a different project

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

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  • Brand-free category queries5 vs 2 in Lite
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