latent-diffusion
Image synthesis tool
This project provides an integration for High-Resolution Image Synthesis with Latent Diffusion Models into the sd-webui application.
High-Resolution Image Synthesis with Latent Diffusion Models
90 stars
1 watching
16 forks
Language: Python
last commit: over 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 yfszzx/stable-diffusion-webui-images-browser | An extension for stable-diffusion-webui that allows users to browse and manage generated images. | 489 |
 albarji/mixture-of-diffusers | Generates detailed images by combining multiple diffusion processes focused on different regions of the image. | 418 |
 woozzu/dong_iccv_2017 | An implementation of semantic image synthesis via adversarial learning using PyTorch | 145 |
 auto1111sdk/auto1111sdk | A Python library for running state-of-the-art diffusion models, supporting text-to-image and image-to-image generation. | 399 |
 parlance-zz/g-diffuser-bot | Discord bot and interface for the Stable Diffusion image generation tool | 280 |
 sddebz/stable-diffusion-krita-plugin | An interface for Krita's Stable Diffusion plugin | 423 |
 deforum/stable-diffusion | A latent text-to-image diffusion model that generates high-resolution images from text prompts. | 796 |
 jittorrepos/jdiffusion | A diffusion model library for generating images and videos using JTorch and Diffusers | 243 |
 jquesnelle/txt2imghd | Creates detailed images by upscaling and refining Stable Diffusion outputs | 695 |
 pixart-alpha/pixart-sigma | Develops a PyTorch model for 4K text-to-image generation using diffusion transformer | 1,711 |
 deforum-art/deforum-stable-diffusion | An open source implementation of stable diffusion machine learning image synthesis | 2,212 |
 fantasy-studio/paint-by-example | This project enables precise control over image editing by leveraging diffusion models and self-supervised training to disentangle source images from exemplars. | 1,124 |
 owenzlz/deepimageblending | A PyTorch implementation of blending images by optimizing a Poisson loss with style and content loss | 435 |
 huawei-noah/pretrained-ipt | This project develops a pre-trained transformer model for image processing tasks such as denoising, super-resolution, and deraining. | 451 |
 birch-san/diffusers | A toolkit for creating and manipulating state-of-the-art diffusion models in PyTorch | 8 |