Welcome to our open-source repository where we are building and improving two powerful models: GAN (Generative Adversarial Networks) and Stable Diffusion. Whether you're a researcher, developer, or an AI enthusiast, your contributions and insights are highly valued!
This repository is an open space for collaboration, learning, and building state-of-the-art generative models. We encourage you to explore, experiment, and most importantly, contribute to advancing this project.
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GAN (Generative Adversarial Networks)
GANs are a class of machine learning frameworks designed for generating synthetic data that is indistinguishable from real data. They have numerous applications in image generation, super-resolution, and data augmentation. -
Stable Diffusion
Stable Diffusion is an advanced model capable of generating high-quality images from textual descriptions. It is a state-of-the-art generative model that excels in creating visually stunning images with controllable styles and attributes.
We warmly welcome contributions from everyone! Whether you are fixing bugs, adding features, or improving documentation, your efforts are greatly appreciated.
To get started, please read our Contributing guide. It contains all the information you need to know about how to contribute to the project, from setting up your environment to submitting pull requests.