High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach*,Andreas Blattmann*,Dominik Lorenz,Patrick Esser,Björn Ommer CVPR '22 Oral|GitHub|arXiv|Project page Stable Diffusionis a latent text-to-image diffusion model. Thanks to a generous compute donation fromStability AIand supp...
A latent text-to-image diffusion model. Contribute to CompVis/stable-diffusion development by creating an account on GitHub.
[arXiv 2023] Paragraph-to-Image Generation with Information-Enriched Diffusion Model 相应的paper list在我的GitHub repo中也有收录,有需要的朋友可以参考。 SUR-Adapter SUR-Adapter一文出自《SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models》,目前这篇工作已经被ACM...
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Google的文章,用Imagen来实现。https://dreambooth.github.io/ Motivation 这篇和An Image is Worth One Word有点像。讲的都是基于新概念的生成,利用给定的一组图,希望txt2img模型能够直接基于这个图来合成新的东西。(personal...
与现有方法相比,生成的结果一致,并且具有良好的视觉质量(FID减少30%,KID减少37%)。https://lukashoel.github.io/ViewDiff/ 2、NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging 布局感知的文本到图像生成,是一种生成反映布局条件和文本条件的多物体图像的任务。当...
A latent text-to-image diffusion model. Contribute to CompVis/stable-diffusion development by creating an account on GitHub.
2021年1月open AI,就是弄chat GPT的那个公司,在论文中宣布diffusion model在图像生成任务中打败了传统的GAN(生成对抗网络)2021年10月 github上开源公开了disco- diffusion模型,它是基于Open AI的Guided Diffusion项目研发的。它的功能就是完成从文字生成图片的任务。2022年8月“stability.AI” 开源了Stable Diffusion...
to-image diffusion models on mobile devices in less than $2$ seconds. We achieve so by introducing efficient network architecture and improving step distillation. Specifically, we propose an efficient UNet by identifying the redundancy of the original model and reducing the computation of the image ...
此外,GLIDE(Guided Language to Image Diffusion for Generation and Editing)模型还可以微调进行图像修复,从而实现强大的文本驱动的图像编辑。本文在过滤后的数据集上训练了一个较小的模型,地址:https://github.com/openai/glide-text2im。 首先简单介绍扩散模型:...
Text-guided image editing can have a transformative impact in supportingcreative applications. A key challenge is to generate edits that are faithfulto input text prompts, while consistent with input images. We present ImagenEditor, a cascaded diffusion model built, by fine-tuning Imagen on text-gu...