RRepoGEO

REPOGEO REPORT · LITE

LAION-AI/dalle2-laion

Default branch main · commit d4ac5ffa · scanned 6/8/2026, 4:47:58 PM

GitHub: 504 stars · 64 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 LAION-AI/dalle2-laion, 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:

    CURRENT
    (none)
    COPY-PASTE FIX
    ['dalle2', 'text-to-image', 'generative-ai', 'deep-learning', 'laion', 'pretrained-models', 'image-generation', 'diffusion-models']
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, using the MIT or Apache-2.0 license template.
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Add a link to the official LAION-AI DALL-E 2 project page or the main Hugging Face model card mentioned in the README as the repository homepage.

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 LAION-AI/dalle2-laion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Hub
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Hub · recommended 1×
  2. Stable Diffusion · recommended 1×
  3. DALL-E mini · recommended 1×
  4. Craiyon · recommended 1×
  5. RunwayML · recommended 1×
  • CATEGORY QUERY
    Where can I find pre-trained models for generating images from text prompts?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. Stable Diffusion
    3. DALL-E mini
    4. Craiyon
    5. RunwayML
    6. Google AI
    7. Imagen
    8. Parti
    9. GitHub
    10. Kaggle
    11. OpenAI
    12. DALL-E 2

    AI recommended 12 alternatives but never named LAION-AI/dalle2-laion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools exist for running text-to-image inference locally?
    you: not recommended
    AI recommended (in order):
    1. Automatic1111's Stable Diffusion WebUI (AUTOMATIC1111/stable-diffusion-webui)
    2. ComfyUI (comfyanonymous/ComfyUI)
    3. InvokeAI (invoke-ai/InvokeAI)
    4. Fooocus (lllyasviel/Fooocus)
    5. Diffusers (huggingface/diffusers)
    6. Easy Diffusion (cmdr2/stable-diffusion-ui)

    AI recommended 6 alternatives but never named LAION-AI/dalle2-laion. 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 LAION-AI/dalle2-laion?
    pass
    AI named LAION-AI/dalle2-laion explicitly

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

  • If a team adopts LAION-AI/dalle2-laion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LAION-AI/dalle2-laion 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 LAION-AI/dalle2-laion solve, and who is the primary audience?
    pass
    AI named LAION-AI/dalle2-laion 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 LAION-AI/dalle2-laion. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/LAION-AI/dalle2-laion.svg)](https://repogeo.com/en/r/LAION-AI/dalle2-laion)
HTML
<a href="https://repogeo.com/en/r/LAION-AI/dalle2-laion"><img src="https://repogeo.com/badge/LAION-AI/dalle2-laion.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

LAION-AI/dalle2-laion — 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