REPOGEO REPORT · LITE

Yutong-Zhou-cv/Awesome-Text-to-Image

Default branch 2024-Version-2.0 · commit f548d3d3 · scanned 5/26/2026, 6:23:33 AM

GitHub: 2,435 stars · 205 forks

AI VISIBILITY SCORE

22 /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

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 Yutong-Zhou-cv/Awesome-Text-to-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

highreadme#1

Reposition the README H1 and opening sentence to be machine-readable and explicit about content type

Why:

CURRENT

# <p align=center>𝓐𝔀𝓮𝓼𝓸𝓶𝓮 𝓣𝓮𝓧𝓽📝-𝓽𝓸-𝓘𝓶𝓪𝓰𝓮🌇</p>

𝓐 𝓬𝓸𝓵𝓵𝓮𝓬𝓽𝓲𝓸𝓷 𝓸𝓯 𝓻𝓮𝓼𝓸𝓾𝓻𝓬𝓮𝓼 𝓸𝓷 𝓽𝓮𝔁𝓽-𝓽𝓸-𝓲𝓶𝓪𝓰𝓮 𝓼𝔂𝓷𝓽𝓱𝓮𝓼𝓲𝓼/𝓶𝓪𝓷𝓲𝓹𝓾𝓵𝓪𝓽𝓲𝓸𝓷 𝓽𝓪𝓼𝓴𝓼.

COPY-PASTE FIX

# Awesome Text-to-Image: A Comprehensive Survey and Resource Collection

This repository provides a comprehensive survey and curated collection of resources on text-to-image generation and synthesis, including papers, models, and datasets.

highhomepage#2
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://github.com/Yutong-Zhou-cv/Awesome-Text-to-Image
```
mediumtopics#3
Correct the typo in the 'awesome-list' topic
Why:
CURRENT
```
awseome-list
```
COPY-PASTE FIX
```
awesome-list
```

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 Yutong-Zhou-cv/Awesome-Text-to-Image

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Papers With Code - Text-to-Image Generation

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Papers With Code - Text-to-Image Generation · recommended 1×
Hugging Face Blog/Course - Diffusion Models · recommended 1×
"Generative AI with Diffusion Models" (DeepLearning.AI / Google Cloud Course) · recommended 1×
"The Illustrated Stable Diffusion" by Jay Alammar · recommended 1×
arXiv.org · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive overview of text-to-image generation techniques and models?
you: not recommended
AI recommended (in order):
1. Papers With Code - Text-to-Image Generation
2. Hugging Face Blog/Course - Diffusion Models
3. "Generative AI with Diffusion Models" (DeepLearning.AI / Google Cloud Course)
4. "The Illustrated Stable Diffusion" by Jay Alammar
5. arXiv.org
6. Wikipedia - Generative Adversarial Networks (GANs) and Diffusion Models
AI recommended 6 alternatives but never named Yutong-Zhou-cv/Awesome-Text-to-Image. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best resources for learning about multimodal image synthesis from text prompts?
you: not recommended
AI recommended (in order):
1. Hugging Face Diffusers Library
2. RunwayML
3. Stability AI (Stability-AI/Stable-Diffusion)
4. DALL-E 2
5. CLIP
6. The Illustrated Stable Diffusion
7. Kaggle
AI recommended 7 alternatives but never named Yutong-Zhou-cv/Awesome-Text-to-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 Yutong-Zhou-cv/Awesome-Text-to-Image?
pass
AI did not name Yutong-Zhou-cv/Awesome-Text-to-Image — 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 Yutong-Zhou-cv/Awesome-Text-to-Image in production, what risks or prerequisites should they evaluate first?
pass
AI named Yutong-Zhou-cv/Awesome-Text-to-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 Yutong-Zhou-cv/Awesome-Text-to-Image solve, and who is the primary audience?
pass
AI did not name Yutong-Zhou-cv/Awesome-Text-to-Image — 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?

Embed your GEO score

Drop this badge into the README of Yutong-Zhou-cv/Awesome-Text-to-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.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/Yutong-Zhou-cv/Awesome-Text-to-Image.svg)](https://repogeo.com/en/r/Yutong-Zhou-cv/Awesome-Text-to-Image)

HTML

<a href="https://repogeo.com/en/r/Yutong-Zhou-cv/Awesome-Text-to-Image"><img src="https://repogeo.com/badge/Yutong-Zhou-cv/Awesome-Text-to-Image.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

Yutong-Zhou-cv/Awesome-Text-to-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