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Awesome-pretrained-stylegan2 Alternatives
Similar projects and alternatives to awesome-pretrained-stylegan2
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stylegan2-ada
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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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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Awesome-Text-to-Image
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
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big-sleep
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
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dl-colab-notebooks
Try out deep learning models online on Google Colab
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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deep-daze
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
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Awesome-CLIP
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
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TediGAN
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. [Moved to: https://github.com/IIGROUP/TediGAN] (by weihaox)
awesome-pretrained-stylegan2 reviews and mentions
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List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
Many of the items on the first list below are Google Colaboratory ("Colab") notebooks, which run in a web browser; for more info, see the Google Colab FAQ. Some Colab notebooks create output files in the remote computer's file system; these files can be accessed by clicking the Files icon in the left part of the Colab window. For the BigGAN image generators on the first list that allow the initial class (i.e. type of object) to be specified, here is a list of the 1,000 BigGAN classes. For the StyleGAN image generators on the first list that allow the specification of the StyleGAN2 .pkl file, here is a list of them.
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Pre-trained StyleGAN2 model
For some more good pretrained StyleGAN2 weights: https://github.com/justinpinkney/awesome-pretrained-stylegan2 (unfortunately some of the download links are dead though)
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[P] Stylegan on ~5k images
I found this page after a quick google search https://github.com/justinpinkney/awesome-pretrained-stylegan2 but if this one doesn't work there are others. You can also just use StyleGan (v1) and have great results, I'm not sure that the v2 is much better.
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How to make a pretrained StyleGan model?
like these models: https://github.com/justinpinkney/awesome-pretrained-stylegan2
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- awesome-pretrained-stylegan2 VS stylegan2-ada
- awesome-pretrained-stylegan2 VS stylegan2-pytorch
- awesome-pretrained-stylegan2 VS stylegan2
- awesome-pretrained-stylegan2 VS stylegan
- awesome-pretrained-stylegan2 VS Awesome-Text-to-Image
- awesome-pretrained-stylegan2 VS big-sleep
- awesome-pretrained-stylegan2 VS dl-colab-notebooks
- awesome-pretrained-stylegan2 VS deep-daze
- awesome-pretrained-stylegan2 VS ml-art-colabs
- awesome-pretrained-stylegan2 VS Awesome-CLIP