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Stylegan2-ada Alternatives
Similar projects and alternatives to stylegan2-ada
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stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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clip-guided-diffusion
A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better stylegan2-ada alternative or higher similarity.
stylegan2-ada reviews and mentions
Posts with mentions or reviews of stylegan2-ada.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-21.
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Getty Images will cease to accept all submissions created using AI generative models
If you smudge just a few locations I doubt it would fool a simple discriminator. You could also train a discriminator that is robust to post-processing by using augmentations. This was popular with StyleGAN models: https://github.com/NVlabs/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?
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
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A note from our sponsor - WorkOS
workos.com | 28 Apr 2024
Stats
Basic stylegan2-ada repo stats
21
1,781
0.0
6 months ago
NVlabs/stylegan2-ada is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of stylegan2-ada is Python.
Popular Comparisons
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