guided-diffusion
Image generator
This project is a software implementation of a diffusion model architecture, allowing users to generate synthetic images based on a learned distribution.
6k stars
141 watching
836 forks
Language: Python
last commit: 6 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
openai/consistency_models | A PyTorch-based framework for training and sampling consistency models in image generation | 6,199 |
compvis/stable-diffusion | A text-to-image model trained on images and text prompts using a diffusion process | 68,750 |
openai/glide-text2im | A diffusion-based text-conditional image synthesis model | 3,562 |
stability-ai/stablediffusion | A software project that enables high-resolution image synthesis through a specific type of generative model using latent diffusion processes. | 39,501 |
lucidrains/dalle2-pytorch | An implementation of DALL-E 2's text-to-image synthesis neural network in PyTorch | 11,184 |
huggingface/diffusion-models-class | A comprehensive course teaching the theory and hands-on implementation of diffusion models in image and audio generation using PyTorch. | 3,722 |
lllyasviel/controlnet | An implementation of a neural network structure to control diffusion models by adding extra conditions. | 30,944 |
soumith/ganhacks | A collection of strategies and techniques to improve the stability and performance of Generative Adversarial Networks (GANs) for generating high-quality images. | 11,473 |
modelscope/diffsynth-studio | A software framework for training and utilizing various types of diffusion models. | 6,641 |
huggingface/diffusers | A PyTorch-based library for training and using state-of-the-art diffusion models to generate images, audio, and 3D structures | 26,676 |
ai-forever/kandinsky-2 | A multilingual text2image latent diffusion model with improved aesthetics and controllability | 2,774 |
furkangozukara/stable-diffusion | Tutorials and guides for advanced techniques in using the Stable Diffusion model for image and video generation | 2,169 |
postech-cvlab/pytorch-studiogan | A comprehensive PyTorch library providing implementations of various Generative Adversarial Networks (GANs) for image generation and evaluation. | 3,439 |
tkarras/progressive_growing_of_gans | A training methodology for generative adversarial networks to improve quality and stability | 6,110 |
open-mmlab/mmagic | A toolkit for building and experimenting with generative AI models for image and video generation, restoration, enhancement, and other tasks. | 6,986 |