casual
stylegan2-pytorch
casual | stylegan2-pytorch | |
---|---|---|
4 | 1,989 | |
3,024 | 3,613 | |
- | - | |
0.0 | 0.0 | |
10 months ago | over 1 year ago | |
JavaScript | Python | |
- | MIT License |
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casual
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Show HN: UI Filler – placeholders for your designs
Faker looks cool! We've been using Casual [0] for ages but Faker looks more featureful and more actively maintained.
0: https://github.com/boo1ean/casual
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How to Mock an API with random data from NodeJS
In order to create the mockserver we need 2 npm dependencies. json-server and casual so we run npm install json-server casual --save-dev in our project.
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📦 Top alternatives for "colors" and "faker"
https://npm.im/casual (57k weekly downloads) https://github.com/boo1ean/casual (2.8k stars)
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Generating Fake Data for Dashboards and Data Visualizations
In the past, I have relied on Google Sheets and a combination of array formulas, vlookups, random value generators to create fake datasets. This approach worked for small, one off datasets. Any time I needed to generate more than 1000 records or needed to update a dataset, this approach proved to be tedious. I also explored Faker and Casual (both of which are fantastic tools) but found that the data they generate was too abstract and that the implementation wasn't ideal for large datasets. I wanted a tool that:
stylegan2-pytorch
- Wikipedia No Longer Considers CNET "Generally Reliable" Source After AI Scandal
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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>
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Realism Engine SDXL v2.0 just released
I wonder if we will ever get a realism model which can produce normal faces like https://thispersondoesnotexist.com instead of like super symmetrical faces of models
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Spongebob!!!
this has been in circulation since a while AI images took off, and they certainly weren't convincing before they did. You know the old "try to name one thing in this image" macro? Pretty sure that was AI generated, there was also thispersondoesnotexist.com which was always pretty good but of course it is
- 🤣🤣🤣
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Many AI images have are photorealistic, but have a strangely empty and ''soulless'' expression. Something is wrong, but it's hard to say what
Not the workflow for these images, but if you easily want to spice up your gens with a bit more natural look, try using images from thispersondoesnotexist.com with IPAdapter face model.
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‘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).
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Quan Chi is from Massachusetts
Also we can generate very realistic faces with AI, https://thispersondoesnotexist.com/ (old example), fully 3D faces are doable at this point. So in another 5-10 years a low profile model like him wouldn't even be hired for this, they would just generate a digital face model. Unionizing will only speed up studios adoption of digital replacements.
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Sketchy Youtube comments talking about Hostinger
It looks like they all use a profile picture made with https://thispersondoesnotexist.com/
- Lorem picsum but for avatars?
What are some alternatives?
Faker.js - What really happened with Aaron Swartz?
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
typeorm-seeding - 🌱 A delightful way to seed test data into your database.
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
chance.js - Chance - Random generator helper for JavaScript
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
faker - Generate massive amounts of fake data in the browser and node.js
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
plop - Consistency Made Simple
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
data-spring - Easily generate a dummy dataset based on a provided config
dalle-mini - DALL·E Mini - Generate images from a text prompt