RRepoGEO

REPOGEO REPORT · LITE

kakaobrain/karlo

Default branch main · commit 3c68a50a · scanned 6/4/2026, 1:22:11 PM

GitHub: 699 stars · 43 forks

AI VISIBILITY SCORE
30 /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
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 kakaobrain/karlo, 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
  • highreadme#1
    Reposition the README H1 and opening paragraph

    Why:

    CURRENT
    # Karlo-v1.0.alpha on COYO-100M and CC15M

Karlo is a text-conditional image generation model based on OpenAI's unCLIP architecture with the improvement over the standard super-resolution model from 64px to 256px, recovering high-frequency details only in the small number of denoising steps.
    COPY-PASTE FIX
    # Karlo: A Text-Conditional Image Generation Model

Karlo is an open-source text-conditional image generation model based on OpenAI's unCLIP architecture, designed to create high-quality images from descriptive text prompts. This repository provides the Karlo-v1.0.alpha model, trained on 115M image-text pairs including COYO-100M, CC3M, and CC12M, featuring improved super-resolution from 64px to 256px.
  • highabout#2
    Add a concise description to the repository's About section

    Why:

    COPY-PASTE FIX
    Karlo is an open-source text-conditional image generation model based on OpenAI's unCLIP architecture, capable of creating high-quality images from descriptive text prompts.
  • hightopics#3
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    text-to-image, image-generation, diffusion-model, unclip, deep-learning, ai-art, generative-ai

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 kakaobrain/karlo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 2×
  2. DeepFloyd IF · recommended 2×
  3. Hugging Face Diffusers · recommended 1×
  4. Automatic1111 web UI · recommended 1×
  5. DALL-E 3 · recommended 1×
  • CATEGORY QUERY
    How can I programmatically create high-quality images from descriptive text prompts?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Hugging Face Diffusers
    3. Automatic1111 web UI
    4. DALL-E 3
    5. Midjourney
    6. Adobe Firefly
    7. Kandinsky 2.2
    8. DeepFloyd IF

    AI recommended 8 alternatives but never named kakaobrain/karlo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source models are available for generating images from text using unCLIP?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. DeepFloyd IF
    3. Kandinsky
    4. OpenCLIP
    5. GLIDE
    6. CogView2

    AI recommended 6 alternatives but never named kakaobrain/karlo. 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 kakaobrain/karlo?
    pass
    AI named kakaobrain/karlo explicitly

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

  • If a team adopts kakaobrain/karlo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kakaobrain/karlo 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 kakaobrain/karlo solve, and who is the primary audience?
    pass
    AI named kakaobrain/karlo explicitly

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

Embed your GEO score

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kakaobrain/karlo — 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