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27 search results found

Dreambooth Stable Diffusion ⭐ 3,113

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

Ai Art Generator ⭐ 548

For automating the creation of large batches of AI-generated artwork locally.

Dream Factory ⭐ 437

Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.

Anime Face Dataset ⭐ 404

🖼 A collection of high-quality anime faces.

Chatgpt Pro ⭐ 397

ChatGPT-Pro is an advanced application that combines the power of ChatGPT and DALL.E.

Unetgan ⭐ 266

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

Modular Diffusion ⭐ 227

Python library for designing and training your own Diffusion Models with PyTorch.

Tiny Dream ⭐ 203

Tiny Dream - An embedded, Header Only, Stable Diffusion C++ implementation

Hugsvision ⭐ 170

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Scene_generation ⭐ 145

A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation

Transformers In Action ⭐ 51

This is the corresponding code for the book Transformers in Action

Gatedpixelcnnpytorch ⭐ 46

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

Semantic_pyramid_for_image_generation ⭐ 45

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Cyclegan Models ⭐ 42

Models generated by CycleGAN

Tokencompose ⭐ 41

(arXiv) 🧩 TokenCompose: Grounding Diffusion with Token-level Supervision

Self Supervised Gans Pytorch ⭐ 28

Ready to train Pytorch implementation of the CVPR'19 paper "Self-Supervised GANs via Auxiliary Rotation Loss"

Generative neural networks for 3D terrain.

Bluemoonai ⭐ 16

BlueMoon AI is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, cultivates autonomous freedom to produce incredible imagery, empowers billions of people to create stunning art within seconds.

Chatgpt Clone Gpt 3.5 ⭐ 14

this app is a ChatGPT Clone with DALL.E using OpenAIs gpt-3.5-turbo and image generation Model

Littlegan ⭐ 10

Code for the report "LittleGAN: Conditional Facial Image Generation and Adjustment"

How Diffusion Models Work ⭐ 9

Notes from How Diffusion Models Work by DeepLearning.ai

Awesome Generative Models ⭐ 8

A collection of awesome generative model papers, frameworks, libraries, software and resources for text, image, video, animation, code generation

Hi, I'm Harmony the Hummingbird! Let's work together on whatever you care about.

AI-Assisted Texture Generation Toolkit in Blender

We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

Figment Fusion ⭐ 6

A Jupyter notebook for AI image generation

This Cat Does Not Exist ⭐ 5

● This is a simple WGAN-GP that was implemented in a Google Colab Notebook, capable of generating realistic cat images.

Stable_diffusion_api ⭐ 5

This repository contains an entire backend of an application in rest API format to generate unique images through a stable diffusion algorithm.

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