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go-unsplash | stylegan2-pytorch | |
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844 | 1989 | |
73 | 3,613 | |
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1.8 | 0.0 | |
12 months ago | over 1 year ago | |
Go | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
go-unsplash
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Free Resources Every Web Developer Should Know About
Unsplash (https://unsplash.com/)
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Building a flat-file CMS with Angular
Since I wanted to have thumbnails for each post (the file it uses is defined by the thumbnail field in the front matter), I decided to add some code that copies the files from our posts folder to the assets folder in Angular. This way, we can easily reference them in our Angular code. However, some of the image files I would download from Unsplash.com (fantastic public domain images btw) were huge and would take a few seconds to load in the browser. So, I delegated this task to gulp, where the files would first be piped to imagemin and then copied to the assets folder. This optimized the images for faster load times. My gulpfile.mjs looks like this:
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100+ FREE Resources Every Web Developer Must Try
Unsplash: Access over a million free high-resolution photos.
- Every Default macOS Wallpaper
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Building a serverless API with email notifications in AWS with Terraform - Part 1
Cover Image by Fotis Fotopoulos on Unsplash
- What is your favorite app for wallpapers?
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Simplistic
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-
A Guide to Enhancing QA
Images
-
How to Build an Image Search App With Pagination Using React
Now, to implement the image search, we need to get the API key from Unsplash Website.
-
How To Convert Multiple Images Into A Single PDF File Using 4 Lines of Python Code
You can download the royalty free images from Unsplash or Pexels. Keep in mind that our project can't handle large image files. Therefore, try to download those image files which are smaller in file size. You can select small files during downloading them from Unsplash.
stylegan2-pytorch
-
Discord Clone Using Next.js and Tailwind - Part 3: Channel List
export default function ChannelListBottomBar(): JSX.Element { const { client } = useChatContext(); const [micActive, setMicActive] = useState(false); const [audioActive, setAudioActive] = useState(false); return (
{client.user?.image && (div> )}setMicActive((currentValue) => !currentValue)} > button> setAudioActive((currentValue) => !currentValue)} > button> button> div> ); }{client.user?.name} span> {client.user?.online ? 'Online' : 'Offline'} span> p> button>
-
‘Nudify’ Apps That Use AI to ‘Undress’ Women in Photos Are Soaring in Popularity
...then they just use the app on generated images of not real people (potentially based on specific inputs to remind you of a real person).
-
AI Real-Time Human Full-Body Photo Generator
At lest, a way to complete the AI-generated cycle that https://thispersondoesnotexist.com/ started.
-
400+ Websites That I Use as a Web Designer/Freelancer - All Compiled and Categorized in One Place
Thispersondoesnotexist.com - It's what the title says. It's terrifying but whenever you refrest the page, it shows you a new "person" who doesn't exist.
-
This X Does Not Exist (Day 27 of 30 Days of RPG Generator Sites)
This X Does Not Exist is a list of gens for People, Cities, Words, Lyrics and other items that have been created by GANs (generative adversarial networks).
-
What's a USEFUL tool/website you're surprised more people don't know about?
thispersondoesnotexist.com for making profile pics when you want to be anonymous
-
Meta AI has released *both* the Model AND the dataset for Segment Anything, and impressive new foundation model that can segment different objects in images
Nvidia is the one who made GANs popular. All this buzzword that people say about Generative AI, it was popularised by Nvidia with their StyleGAN paper. You must have seen or hear about thispersondoesnotexist.com? That's Nvidia.
-
StyleGAN-T Nvidia, 30x Faster than SD?
GANs on the other hand uses a generator and discriminator model, where the generator learns to generate images that are "good enough" to fool the discriminator. It may make it easier to make discriminators that are better at picking out visual artefacts that stand out for humans, (it was easy to pick out "fake humans" from the early versions of thispersondoesnotexist.com by looking at their eyes and teeth, they tend to be pointing in different directions, or their teeth are too irregular before the discriminator got better at picking those out) but they can suffer from mode collapse, and generate images with very little variety.
- Site para criar AI art de graça, não é tão bom quanto um midjourney da vida, mas esse deixa você gerar até 1000 imagens por dia: playgroundai.com
-
Are there jobs that have intersections between graphics and machine learning?
Generative networks like StyleGAN
What are some alternatives?
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Nextcloud - ☁️ Nextcloud server, a safe home for all your data
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
dalle-mini - DALL·E Mini - Generate images from a text prompt
squoosh - Make images smaller using best-in-class codecs, right in the browser.
waifu2x - Image Super-Resolution for Anime-Style Art
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
picsum-photos - Lorem Ipsum... but for photos.