teddykoker/image-gpt
PyTorch Implementation of OpenAI's Image GPT
This project helps you explore how AI models can complete missing parts of images, even with limited computational resources. You input a partial image and the model generates the most probable completion, allowing you to observe how it "imagines" the rest. It's ideal for AI researchers, students, and enthusiasts looking to experiment with generative image models.
260 stars. No commits in the last 6 months.
Use this if you want to understand and experiment with how generative AI models can complete visual information, especially for smaller datasets like MNIST or CIFAR-10, without needing massive computing power.
Not ideal if you're looking for production-ready, high-resolution image generation or trying to reproduce the full-scale, cutting-edge results of the original Image GPT model on complex datasets like ImageNet.
Stars
260
Forks
33
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 03, 2023
Commits (30d)
0
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