Training a GAN from your Own Images: StyleGAN2 ADA

You’ve probably seen cool neural network GAN images created of human faces and even cats. However, what if you want to create GANs of your own images? In this video I show how I created GANs from several different image sources, including fish, holiday photos, and even MineCraft. It does take considerable compute power, and a GPU; however, I provide the steps to train your own GAN images.

Want to do this on CoLab? https://www.youtube.com/watch?v=L3JLzoe-dJU
Want to do this on Windows? https://www.youtube.com/watch?v=BCde68k6KXg

0:45 Using a Lenovo ThinkStation P920 with Dual NVIDIA RTX 8000 GPUs
2:25 Planning your GAN Training Project
2:34 A GAN to Generate 1970s SciFi Magazine Covers
3:45 NVIDIA FFHQ Faces GAN
4:25 How I collected images for FishGAN
5:17 How I created Minecraft GAN
6:30 How I created Christmas GAN
7:08 Setting up the Docker Image
7:48 Starting Docker
9:20 Convert to TFRecords
12:03 What can go wrong converting your images
14:30 Training the GAN
16:14 Understanding GAN Training Output
19:55 Conclusions

Links:
Minecraft GAN: https://github.com/jeffheaton/pretrained-gan-minecraft
Fish GAN: https://github.com/jeffheaton/pretrained-gan-fish
70s sci-fi GAN: https://github.com/jeffheaton/pretrained-gan-70s-scifi
Merry Christmas GAN: https://github.com/jeffheaton/pretrained-merry-gan-mas
My Image Collecting Utility: https://github.com/jeffheaton/pyimgdata
My GAN Training Docker Image: https://github.com/jeffheaton/docker-stylegan2-ada

** Follow Jeff Heaton on Social Media!
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