llm-grounded-diffusion.github.io Llm-grounded-diffusion.github.io

   
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Domain Summary

What is the traffic rank for Llm-grounded-diffusion.github.io?

• Llm-grounded-diffusion.github.io ranks #12,870,872 globally on HypeStat.

What percent of global Internet users visit Llm-grounded-diffusion.github.io?

• 9.0E-7% of global Internet users visit Llm-grounded-diffusion.github.io

How many people visit Llm-grounded-diffusion.github.io each day?

• Llm-grounded-diffusion.github.io receives approximately 42 visitors and 44 page impressions per day.

Which countries does Llm-grounded-diffusion.github.io receive most of its visitors from?

• Llm-grounded-diffusion.github.io is mostly visited by people located in United States,France,Germany.

How much Llm-grounded-diffusion.github.io can earn?

• Llm-grounded-diffusion.github.io should earn about $0.11/day from advertising revenue.

What is Llm-grounded-diffusion.github.io estimated value?

• Estimated value of Llm-grounded-diffusion.github.io is $97.66.

What IP addresses does Llm-grounded-diffusion.github.io resolve to?

• Llm-grounded-diffusion.github.io resolves to the IP addresses 185.199.109.153.

Where are Llm-grounded-diffusion.github.io servers located in?

• Llm-grounded-diffusion.github.io has servers located in San Francisco, California, 94107, United States.

llm-grounded-diffusion.github.io Profile

Title:LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models Description:LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
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What technologies does llm-grounded-diffusion.github.io use?

These are the technologies used at llm-grounded-diffusion.github.io. llm-grounded-diffusion.github.io has a total of 6 technologies installed in 5 different categories.
CDN
Fastly Fastly
jsDelivr jsDelivr
PaaS
GitHub Pages GitHub Pages
Security
HSTS HSTS
Miscellaneous
Open Graph Open Graph
Caching
Varnish Varnish

llm-grounded-diffusion.github.io Traffic Analysis

Llm-grounded-diffusion.github.io is ranked #12,870,872 in the world. This website is viewed by an estimated 42 visitors daily, generating a total of 44 pageviews. This equates to about 1.3K monthly visitors. Llm-grounded-diffusion.github.io traffic has decreased by 87.3% compared to last month.
Daily Visitors42
87.3%
Monthly Visits1.3K
87.3%
Pages per Visit1.04
Visit duration n/a
Bounce Rate41.68%
Is this your site?Verify your site's metrics.
Daily Unique Visitors:
42
Monthly Visits:
1,273
Pages per Visit:
1.04
Daily Pageviews:
44
Avg. visit duration:
n/a
Bounce rate:
41.68%
Global Reach:
9.0E-7%
Monthly Visits (SEMrush):
16
Monthly Unique Visitors (SEMrush):
16
Monthly Visits (SimilarWeb):
1,255
HypeRank:
12,870,872
SEMrush Rank:
7,205,374
SimilarWeb Rank:
12,870,872
*All traffic values are estimates only.

Traffic sources

Direct:
100.00%
Referral:
0%
Search:
0%
Social:
0%
Paid:
0%

Desktop vs Mobile

Desktop:
100.00%
Mobile:
0%

Total Visits Last 3 Months

1.6K
JUL
10K
AUG
1.3K
SEP

Visitors by country

Country
Users%
 
United States 34.42%
 
France 22.24%
 
Germany 21.91%
 
United Kingdom 11.28%
 
Thailand 8.82%
Last update was 1 day ago
     
This can take up to 60 seconds. Please wait...

*HypeStat.com is not promoting or affiliated with llm-grounded-diffusion.github.io in any way. Only publicly available statistics data are displayed.

  ▼

SEMrush is a complete on line advertising and marketing platform that gives a extensive variety of gear and functions to help companies and entrepreneurs in enhancing their on line visibility and optimizing their virtual advertising and marketing strategies.
SemRushSemRush
Domain:
  llm-grounded-diffusion.github.io
Rank:
(Rank based on keywords, cost and organic traffic)
  7,205,374
Organic Keywords:
(Number of keywords in top 20 Google SERP)
  4
Organic Traffic:
(Number of visitors coming from top 20 search results)
  15
Organic Cost:
((How much need to spend if get same number of visitors from Google Adwords)
  $80.00
Full SEMrush Report >>

Revenue report ▼

Google.com would generate approximately $0.1 per day if the source of income were advertisements, which equates to an estimated monthly revenue of $3.3 and annual gross revenue of approximately $40.2. Based on these figures, the site's net worth is estimated at around $97.7.

How much would llm-grounded-diffusion.github.io make?

Daily Revenue:
$0.11
Monthly Revenue:
$3.30
Yearly Revenue:
$40.15
*All earnings values are estimates only.

Daily earning by country

 
CountryPageviewsEarning
 
United States 15$0.07
 
Germany 10$0.01
 
United Kingdom 5$0.01
 
France 10$0.01
 
Thailand 4$0.00

Loss of money due to Adblock?

Daily Revenue Loss:
$0.02
Monthly Revenue Loss:
$0.60
Yearly Revenue Loss:
$7.26
Daily Pageviews Blocked:
8
Monthly Pageviews Blocked:
229
Yearly Pageviews Blocked:
2,783

Daily revenue loss by country

 
CountryBlockedLost Money
 
United States 3$0.01
 
Germany 3$0.00
 
United Kingdom 1$0.00
 
France 1$0.00
 
Thailand 0$0.00

How much is llm-grounded-diffusion.github.io worth?

Website Value:
$97.7

Ad Experience Report ▼

Summary of the ad experience rating of a website for a specific platform.

Mobile summary

Root domain:
llm-grounded-diffusion.github.io
Ad filtering:
(Chrome is not filtering ads on your site.)
Off
Status:
(The status of the site that is reviewed for the Better Ads Standards.)
Not reviewed

Desktop summary

Root domain:
llm-grounded-diffusion.github.io
Ad filtering:
(Chrome is not filtering ads on your site.)
Off
Status:
(The status of the site that is reviewed for the Better Ads Standards.)
Not reviewed

Abusive Experience Report ▼

Summary of the abusive experience rating of a website.
Root domain:
llm-grounded-diffusion.github.io
Enforcement:
(Chrome is not preventing your site from opening new windows or tabs.)
Off
Status:
(The status of the site reviewed for the abusive experiences.)
Not reviewed

Where is llm-grounded-diffusion.github.io hosted? ▼

Llm-grounded-diffusion.github.io may be hosted in multiple data centers distributed in different locations around the world. This is probably just one of them.
Server IP:
185.199.109.153
ASN:
AS54113 
ISP:
Fastly 
Server Location:
San Francisco
California, CA
94107
United States, US
 

Other sites hosted on 185.199.109.153

How fast does llm-grounded-diffusion.github.io load? ▼

The average loading time of llm-grounded-diffusion.github.io is 223 ms. The Desktop speed index is 84 and mobile speed index is 69.
Average Load Time:
223 ms

Page Speed (Google PageSpeed Insights) - Desktop

84
0-49 50-89 90-100 i

Field Data

Over the last 30 days, the field data shows that this page has a speed compared to other pages in the Chrome User Experience Report.We are showing the 90th percentile of FCP and the 95th percentile of FID.

Cumulative Layout Shift (CLS)0 0% of loads for this page have a fast (<0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have an average (0s ~ 0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)0 0% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)0 0% of loads for this page have a fast (<0s) First Contentful Paint (FCP) 0% 0% of loads for this page have an average (0s ~ 0s) First Contentful Paint (FCP) 0% 0% of loads for this page have a slow (>0s) First Contentful Paint (FCP) 0%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average (0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interaction To Next Paint (INP)0 0% of loads for this page have a fast (<0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have a slow (>0ms) Interaction To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 0% of loads for this page have a fast (<0ms) Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0ms) Largest Contentful Paint (LCP) 0%

Origin Data

All pages served from this origin have an speed compared to other pages in the Chrome User Experience Report. over the last 30 days.To view suggestions tailored to each page, analyze individual page URLs.

Cumulative Layout Shift (CLS)0 0% of loads for this page have a fast (<0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have an average (0s ~ 0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)0 0% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)0 0% of loads for this page have a fast (<0s) First Contentful Paint (FCP) 0% 0% of loads for this page have an average (0s ~ 0s) First Contentful Paint (FCP) 0% 0% of loads for this page have a slow (>0s) First Contentful Paint (FCP) 0%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average 0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interaction To Next Paint (INP)0 0% of loads for this page have a fast (<0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have a slow (>0ms) Interaction To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 0% of loads for this page have a fast (<0ms) Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0ms) Largest Contentful Paint (LCP) 0%

Lab Data

Preconnect to required origins  
Consider adding `preconnect` or `dns-prefetch` resource hints to establish early connections to important third-party origins. Learn how to preconnect to required origins
Total Blocking Time 0 ms
Sum of all time periods between FCP and Time to Interactive, when task length exceeded 50ms, expressed in milliseconds. Learn more about the Total Blocking Time metric
First Contentful Paint 0.7 s
First Contentful Paint marks the time at which the first text or image is painted. Learn more about the First Contentful Paint metric
Largest Contentful Paint image was not lazily loaded  
Above-the-fold images that are lazily loaded render later in the page lifecycle, which can delay the largest contentful paint. Learn more about optimal lazy loading
INP breakdown  
Start investigating with the longest subpart. To reduce processing duration, , often JS. Delays can be minimized optimize the main-thread costs
Largest Contentful Paint 2.6 s
Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric
Time to Interactive 2.6 s
Time to Interactive is the amount of time it takes for the page to become fully interactive. Learn more about the Time to Interactive metric
Lazy load third-party resources with facades  
Some third-party embeds can be lazy loaded. Consider replacing them with a facade until they are required. Learn how to defer third-parties with a facade
Speed Index 0.7 s
Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric
First Meaningful Paint  
First Meaningful Paint measures when the primary content of a page is visible. Learn more about the First Meaningful Paint metric
Max Potential First Input Delay 20 ms
The maximum potential First Input Delay that your users could experience is the duration of the longest task. Learn more about the Maximum Potential First Input Delay metric
Preload Largest Contentful Paint image  
If the LCP element is dynamically added to the page, you should preload the image in order to improve LCP. Learn more about preloading LCP elements
LCP request discovery  
Optimize LCP by making the LCP image from the HTML immediately, and discoverable avoiding lazy-loading

Page Speed (Google PageSpeed Insights) - Mobile

69
0-49 50-89 90-100 i

Field Data

Over the last 30 days, the field data shows that this page has a speed compared to other pages in the Chrome User Experience Report.We are showing the 90th percentile of FCP and the 95th percentile of FID.

Cumulative Layout Shift (CLS)0 0% of loads for this page have a fast (<0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have an average (0s ~ 0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)0 0% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)0 0% of loads for this page have a fast (<0s) First Contentful Paint (FCP) 0% 0% of loads for this page have an average (0s ~ 0s) First Contentful Paint (FCP) 0% 0% of loads for this page have a slow (>0s) First Contentful Paint (FCP) 0%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average (0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interactive To Next Paint (INP)0 0% of loads for this page have a fast (<0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have an average (0s ~ 0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have a slow (>0s) Interactive To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 0% of loads for this page have a fast (<0s) Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0s ~ 0s) Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0s) Largest Contentful Paint (LCP) 0%

Origin Data

All pages served from this origin have an speed compared to other pages in the Chrome User Experience Report. over the last 30 days.To view suggestions tailored to each page, analyze individual page URLs.

Cumulative Layout Shift (CLS)0 0% of loads for this page have a fast (<0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have an average (0s ~ 0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)0 0% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)0 0% of loads for this page have a fast (<0s) First Contentful Paint (FCP) 0% 0% of loads for this page have an average (0s ~ 0s) First Contentful Paint (FCP) 0% 0% of loads for this page have a slow (>0s) First Contentful Paint (FCP) 0%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average 0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interactive To Next Paint (INP)0 0% of loads for this page have a fast (<0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have an average (0s ~ 0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have a slow (>0s) Interactive To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 0% of loads for this page have a fast (<0s)Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0s ~ 0s)Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0s)Largest Contentful Paint (LCP) 0%

Lab Data

Time to Interactive 15.1 s
Time to Interactive is the amount of time it takes for the page to become fully interactive. Learn more about the Time to Interactive metric
Max Potential First Input Delay 20 ms
The maximum potential First Input Delay that your users could experience is the duration of the longest task. Learn more about the Maximum Potential First Input Delay metric
First Contentful Paint 2.6 s
First Contentful Paint marks the time at which the first text or image is painted. Learn more about the First Contentful Paint metric
Largest Contentful Paint 15.1 s
Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric
INP breakdown  
Start investigating with the longest subpart. To reduce processing duration, , often JS. Delays can be minimized optimize the main-thread costs
Preconnect to required origins  
Consider adding `preconnect` or `dns-prefetch` resource hints to establish early connections to important third-party origins. Learn how to preconnect to required origins
Largest Contentful Paint image was not lazily loaded  
Above-the-fold images that are lazily loaded render later in the page lifecycle, which can delay the largest contentful paint. Learn more about optimal lazy loading
Preload Largest Contentful Paint image  
If the LCP element is dynamically added to the page, you should preload the image in order to improve LCP. Learn more about preloading LCP elements
LCP request discovery  
Optimize LCP by making the LCP image from the HTML immediately, and discoverable avoiding lazy-loading
First Meaningful Paint  
First Meaningful Paint measures when the primary content of a page is visible. Learn more about the First Meaningful Paint metric
Lazy load third-party resources with facades  
Some third-party embeds can be lazy loaded. Consider replacing them with a facade until they are required. Learn how to defer third-parties with a facade
Total Blocking Time 0 ms
Sum of all time periods between FCP and Time to Interactive, when task length exceeded 50ms, expressed in milliseconds. Learn more about the Total Blocking Time metric
Speed Index 4.3 s
Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric

Does llm-grounded-diffusion.github.io use compression? ▼

Website compression is the process of reducing the size of website files, such as HTML, CSS, JavaScript, and image files, to improve website performance and load times. Compressing website files can significantly reduce the amount of data that needs to be transferred from the server to the user's browser, resulting in faster page load times and improved user experience. Files on llm-grounded-diffusion.github.io are reduced by 80%.
llm-grounded-diffusion.github.io use gzip compression.
Original size: 11.24 KB
Compressed size: 2.19 KB
File reduced by: 9.05 KB (80%)

Google Safe Browsing ▼

Google Safe Browsing is a service provided by Google that helps protect users from visiting websites that may contain malicious or harmful content, such as malware, phishing attempts, or deceptive software.
This site is not currently listed as suspicious

MyWot.com Reputation Ratings

MyWOT (short for "My Web of Trust") is a web-based reputation and rating service that provides users with information about the trustworthiness and safety of websites.
Status:
  SAFE

SSL Checker - SSL Certificate Verify ▼

An SSL (Secure Sockets Layer) certificate is a digital certificate that establishes a secure encrypted connection between a web server and a user's web browser. It provides authentication and encryption, ensuring that data transmitted between the server and the browser remains private and protected. llm-grounded-diffusion.github.io supports HTTPS.
 llm-grounded-diffusion.github.io supports HTTPS
     
Verifying SSL Support. Please wait...
Common Name: *.github.io
Organization:
Location:
Issuer: Sectigo RSA Domain Validation Secure Server CA
Valid from: Mar 7 00:00:00 2025 GMT
Valid until: Mar 7 23:59:59 2026 GMT
Authority: CA:FALSE
Keysize: 2048 Bits
Common Name: Sectigo RSA Domain Validation Secure Server CA
Organization: Sectigo Limited
Location: Salford, Greater Manchester, GB
Issuer: USERTrust RSA Certification Authority
Valid from: Nov 2 00:00:00 2018 GMT
Valid until: Dec 31 23:59:59 2030 GMT
Authority: CA:TRUE
Keysize: 2048 Bits
Common Name: USERTrust RSA Certification Authority
Organization: The USERTRUST Network
Location: Jersey City, New Jersey, US
Issuer: AAA Certificate Services
Valid from: Mar 12 00:00:00 2019 GMT
Valid until: Dec 31 23:59:59 2028 GMT
Authority: CA:TRUE
Keysize: 4096 Bits

Verify HTTP/2 Support ▼

HTTP/2 (Hypertext Transfer Protocol version 2) is a major revision of the HTTP protocol, which is the foundation of data communication on the World Wide Web. It was developed as an improvement over the previous HTTP/1.1 version to enhance web performance and efficiency.
 llm-grounded-diffusion.github.io supports HTTP/2
     
Verifying HTTP/2.0 Support. Please wait...

Http Header ▼

HTTP headers are extra portions of records despatched among a consumer (which include an internet browser) and a server at some stage in an HTTP request or response. They offer instructions, metadata, or manipulate parameters for the conversation among the consumer and server. 
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Thu, 25 Jan 2024 18:35:37 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"65b2a9f9-2cf5"
expires: Fri, 17 Oct 2025 02:40:42 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 3DCA:19C0D6:36F251:37EDAA:68F1AA52
accept-ranges: bytes
age: 0
date: Fri, 17 Oct 2025 02:30:42 GMT
via: 1.1 varnish
x-served-by: cache-par-lfpg1960066-PAR
x-cache: MISS
x-cache-hits: 0
x-timer: S1760668242.470344,VS0,VE169
vary: Accept-Encoding
x-fastly-request-id: 3063a18d46d670d87b1fbcda2e90d44a0301c7c0
content-length: 2246

DNS Lookup ▼

DNS entries (Domain Name System) are a critical component of the Internet infrastructure. They act as directories that translate human-readable domain names (such as example.com) to machine-readable IP addresses. DNS records are stored on DNS servers and help forward internet traffic efficiently.
Type Ip Target/Txt TTL
HINFO 3600