stylegan2-pytorch
stylegan2-ada
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| stylegan2-pytorch | stylegan2-ada | |
|---|---|---|
| 1132 | 20 | |
| 2,732 | 1,522 | |
| - | 4.7% | |
| 5.3 | 0.4 | |
| 3 months ago | 3 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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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.
stylegan2-pytorch
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WSJ: Get rid of your IT Department
or just deepfake using a https://thispersondoesnotexist.com/ persona
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🦷
this person does not exist
- "We Require An Accurate Photograph"
- What else is needed for true to life visuals?
- Caffè Italia * 23/01/22
- Deux poids deux mesures pour les exactions envers les musulmans
- AI generates the rest of Rockstar Made.
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You get one level of any class irl.
But who am I?
- Észrevetted, hogy rengeteg a "külföldön élő", pár ismerősös, lopott profilképes provokátor az ellenzéki politikusok oldalain? Jámbor A., vagy MZP vagy Szabó Tímea, vagy Jakab P., vagy Karigeri, Fegyőr, stb.. oldalain?
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Google is working on a remedy for the Pixel 6’s external DAC problems, but don’t hold your breath
The thumbnail looks like one of those AI-generated faces á la This person doesn't exist
stylegan2-ada
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Someone posted my art on this subreddit and it reached the front page without credit, so I thought I'd post something myself
https://github.com/NVlabs/stylegan2-ada + clip guided diffusion
- [P] Play around with StyleGAN2 in your browser
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AI will shape up the workflow of the future. Here's a simple implementation of NVidia's StyleGAN inside Blender!
StyleGAN2-ADA is a neural network good at learning styles from images, you can give it a dataset and 'learn' its style into a file (a trained model). In this example, I load a model and given a random seed, generate a random texture which is applied to the object's material.
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How do you generate those latent walk animations?
I understand the concept you're describing, but I'm unsure how to implement it in practice. The documentation on Stylegan2's GitHub page doesn't mention anything on it I can see. https://github.com/NVlabs/stylegan2-ada
You have to modify the code, it's line 60 in https://github.com/NVlabs/stylegan2-ada/blob/main/generate.py
- [D] Do I need to apply spectral norm to my embedding matrix when training a conditional W-GAN?
- Can I train a model on 100 images of homes and have it draw a couple "average" homes?
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New 'The Sculpture 3'. 3d sculpting + neural network
no i dont.. but as for training - i just use default tf stylegan2-ada repo ( https://github.com/NVlabs/stylegan2-ada )
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[R] EigenGAN: Layer-Wise Eigen-Learning for GANs
You should check stylegan-2 ada, it works on colab and can be trained less than 12 hours tensorflow implementation
- gamma
What are some alternatives?
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
stylegan2_pytorch - A Pytorch implementation of StyleGAN2
waifu2x - Image Super-Resolution for Anime-Style Art
yanderifier - First-Order-Wrapper (formerly known as Yanderify) is a front-end tool for first-order-motion. It aims to make using first-order-motion face animation accessible to everyone, for education and entertainment.
og-image - Open Graph Image as a Service - generate cards for Twitter, Facebook, Slack, etc
quickstart-android - Firebase Quickstart Samples for Android
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
go-unsplash - Go Client for the Unsplash API
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.