REPOGEO REPORT · LITE

wangkai930418/awesome-diffusion-categorized

Default branch master · commit 15a421b8 · scanned 6/28/2026, 2:37:39 PM

GitHub: 2,214 stars · 102 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

15 /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

0 / 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 wangkai930418/awesome-diffusion-categorized, 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

Clarify the README's opening statement to emphasize detailed categorization

Why:

CURRENT

# Awesome Diffusion Categorized

COPY-PASTE FIX

# Awesome Diffusion Categorized

This is a meticulously curated collection of diffusion model papers, organized into specific subareas and applications to help researchers navigate the field.

highlicense#2

Add a LICENSE file to clarify usage rights

Why:

CURRENT

(no LICENSE file detected)

COPY-PASTE FIX

Create a LICENSE file in the repository root, for example, using the MIT License text.

mediumhomepage#3

Add a homepage URL to the repository metadata

Why:

COPY-PASTE FIX

Set the repository URL (https://github.com/wangkai930418/awesome-diffusion-categorized) as the homepage in the repository settings.

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 wangkai930418/awesome-diffusion-categorized

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Papers With Code

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Papers With Code · recommended 1×
Awesome Diffusion Models · recommended 1×
arXiv Sanity Preserver · recommended 1×
arXiv.org · recommended 1×
Google Scholar · recommended 1×

CATEGORY QUERY
Where can I find a categorized collection of diffusion model papers for various image tasks?
you: not recommended
AI recommended (in order):
1. Papers With Code
2. Awesome Diffusion Models
3. arXiv Sanity Preserver
4. arXiv.org
5. Google Scholar
6. Distill.pub
7. Google AI Blog
8. Meta AI Blog
9. Hugging Face Blog
10. Hugging Face Diffusers Library Documentation
AI recommended 10 alternatives but never named wangkai930418/awesome-diffusion-categorized. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the key research areas and papers in diffusion models for image generation and editing?
you: not recommended
AI recommended (in order):
1. GLIDE
2. Stable Diffusion
3. SDEdit
4. InstructPix2Pix
5. ControlNet
6. DreamBooth
AI recommended 6 alternatives but never named wangkai930418/awesome-diffusion-categorized. 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 wangkai930418/awesome-diffusion-categorized?
pass
AI did not name wangkai930418/awesome-diffusion-categorized — 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 wangkai930418/awesome-diffusion-categorized in production, what risks or prerequisites should they evaluate first?
pass
AI did not name wangkai930418/awesome-diffusion-categorized — 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?
In one sentence, what problem does the repo wangkai930418/awesome-diffusion-categorized solve, and who is the primary audience?
pass
AI did not name wangkai930418/awesome-diffusion-categorized — 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 wangkai930418/awesome-diffusion-categorized. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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wangkai930418/awesome-diffusion-categorized — 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