stylegan2-flax-tpu
ALAE
stylegan2-flax-tpu | ALAE | |
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10 | 1 | |
130 | 3,494 | |
0.8% | - | |
0.0 | 0.0 | |
over 1 year ago | over 3 years ago | |
Python | Python | |
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stylegan2-flax-tpu
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AI Real-Time Human Full-Body Photo Generator
I’ll take this opportunity to mention our research scaling StyleGAN 2 to larger datasets (using LAION) on food images, leveraging free TPU compute through the TRC program.
We trained for 36 days on a v4-8 on 558k images.
https://nyx-ai.github.io/stylegan2-flax-tpu/
We were hopeful GANs would beat diffusion models when trained on specific domains. But we’ve now switched to Stable Diffusion and Dreambooth training which has proven more much efficient for this purpose.
I still have hopes for GANs! I miss their insane inference speed.
- This Food Does Not Exist
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[P] This Food Does Not Exist, Updated
https://nyx-ai.github.io/stylegan2-flax-tpu
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Show HN: Food Does Not Exist, Updated
https://nyx-ai.github.io/stylegan2-flax-tpu
This is an incremental update on the work we shared 3 months ago: https://news.ycombinator.com/item?id=32167704
We keep scaling up StyleGAN2 training using more data, larger models, and more compute. In this release we open-source a 5-class model able to generate images of burgers, cheesecakes, cocktails, cookies, and sushis at resolution 512x512.
This research is part of the technology underlying our AI-generated photography platform Nyx.gallery that we shared here 2 weeks ago: https://news.ycombinator.com/item?id=33179730
It is also part of an academic research into data augmentation using synthetic methods in partnership with the Food & You project (https://www.foodandyou.org/).
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[P] Towards photorealistic AI images
This is a continuation of our work on "This Food Does Not Exist" (Reddit discussion, Github, checkpoints).
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Show HN: AI-Generated Photography
Models for the 256px food images were previously released here:
https://github.com/nyx-ai/stylegan2-flax-tpu
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Food that doesn't exist (StyleGAN2)
This is the continuation of our work on "This Food Does Not Exist", using old-school StyleGAN2 with more data and larger models to generate bigger images (now 512x512 instead of 256x256).
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Asuka neural net image samples (from NovelAI's in-progress tag-to-image SD model)
I believe you had seen it before on HN: https://nyx-ai.github.io/stylegan2-flax-tpu/
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[P] This Food Does Not Exist
📘 Repo: https://github.com/nyx-ai/stylegan2-flax-tpu
ALAE
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[D] How do I make a model which takes a bedroom image as input give an output of different design of bedroom related to input image?
source link: https://github.com/podgorskiy/ALAE
What are some alternatives?
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
tpu-starter - Everything you want to know about Google Cloud TPU
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
torch-metrics - Metrics for model evaluation in pytorch
checkface - Putting a face to a hash
stylegan3-editing - Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.13433