RRepoGEO

REPOGEO REPORT · LITE

TencentQQGYLab/ELLA

Default branch main · commit 3c228f1d · scanned 5/23/2026, 3:33:16 PM

GitHub: 1,286 stars · 65 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 TencentQQGYLab/ELLA, 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 the repository

    Why:

    COPY-PASTE FIX
    ["diffusion-models", "llm", "text-to-image", "semantic-alignment", "generative-ai", "deep-learning", "computer-vision"]
  • highreadme#2
    Reposition the README's opening to immediately clarify ELLA's core domain

    Why:

    CURRENT
    The first descriptive prose for ELLA in the excerpt is 'Official code of'.
    COPY-PASTE FIX
    After the heading '## ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment', add: 'ELLA is a novel framework designed to integrate Large Language Models (LLMs) with diffusion models, specifically to improve semantic alignment in text-to-image generation.'
  • mediumreadme#3
    Add a concise problem-solution statement early in the README

    Why:

    CURRENT
    The README excerpt is very academic, focusing on papers and authors.
    COPY-PASTE FIX
    Following the initial domain clarification, add: 'It addresses the challenge of generating images that accurately reflect complex textual prompts, offering a solution for researchers and developers working on advanced text-to-image synthesis.'

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 TencentQQGYLab/ELLA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  2. Anthropic Claude 3 Opus / Sonnet · recommended 1×
  3. Google Gemini 1.5 Pro · recommended 1×
  4. Hugging Face Transformers / Diffusers · recommended 1×
  5. PyTorch / TensorFlow · recommended 1×
  • CATEGORY QUERY
    How to improve semantic alignment in text-to-image diffusion models using large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Anthropic Claude 3 Opus / Sonnet
    3. Google Gemini 1.5 Pro
    4. Hugging Face Transformers / Diffusers
    5. PyTorch / TensorFlow
    6. OpenAI Embeddings
    7. Anthropic Claude 3 Sonnet / Haiku
    8. Mistral Large / Mixtral 8x7B
    9. OpenAI GPT-4V (Vision)
    10. Google Gemini 1.5 Pro (Vision capabilities)
    11. LLaVA (Large Language and Vision Assistant) (haotian-liu/LLaVA)

    AI recommended 11 alternatives but never named TencentQQGYLab/ELLA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools integrate large language models with diffusion models for more accurate image generation?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Diffusers Library (huggingface/diffusers)
    2. OpenAI API
    3. ComfyUI (comfyanonymous/ComfyUI)
    4. Automatic1111 Stable Diffusion WebUI (AUTOMATIC1111/stable-diffusion-webui)
    5. InvokeAI (invoke-ai/InvokeAI)
    6. Gradio (gradio-app/gradio)
    7. Streamlit (streamlit/streamlit)

    AI recommended 7 alternatives but never named TencentQQGYLab/ELLA. 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 TencentQQGYLab/ELLA?
    pass
    AI named TencentQQGYLab/ELLA explicitly

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

  • If a team adopts TencentQQGYLab/ELLA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TencentQQGYLab/ELLA 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 TencentQQGYLab/ELLA solve, and who is the primary audience?
    pass
    AI named TencentQQGYLab/ELLA 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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MARKDOWN (README)
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HTML
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TencentQQGYLab/ELLA — 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