To plug-and-play diffusion features, please follow these steps: Setup Feature extraction Running PnP TI2I Benchmarks Setup Our codebase is built onCompVis/stable-diffusionand has shared dependencies and model architecture. Creating a Conda Environment ...
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translationarxiv.org/abs/2211.12572 项目网站:https://pnp-diffusion.github.io/。 封面图来自https://www.artstation.com/artwork/Ya4WAb。 摘要 大规模的文本到图像生成(text-to-image generative)模型,是生成式 AI 发展例程中的革命性的...
python-wrapperclassificationplug-and-playnorbnorb-dataset UpdatedDec 8, 2022 Python [CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models imagenettext-to-imagesemantic-segmentationplug-and-playface-generationmultimodalceleba-hq-datasetmultimodal-deep-learningface-synthesis...
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation Narek Tumanyan∗ Michal Geyer∗ Shai Bagon Tali Dekel Weizmann Institute of Science Project webpage: https://pnp-diffusion.github.io Input Real Image "a photo of a bronze "A ...
项目地址:BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion (tencentarc.github.io) GitHub:TencentARC/BrushNet: The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion" (github.com) 简介 Image...
In this paper, we present a new framework that takes text-to-image synthesis to the realm of image-to-image translation -- given a guidance image and a target text prompt, our method harnesses the power of a pre-trained text-to-image diffusion model to generate a new image that complies...
(PAIR), 2U of Oregon, 3UT Austin https://github.com/Picsart-AI-Research/Specialist-Diffusion Abstract Diffusion models have demonstrated impressive capabil- ity of text-conditioned image synthesis, and broader appli- cation horizons are emerging...
diffusion models into plug-and-play modules, thereby allowing a range of potential applications in adapting models to new domains and tasks, such as conditional generation or image segmentation. The structure of diffusion models allows us to perform approximate inference by iterating differentiation ...
SpeedUpNet: A Plug-and-Play Adapter Network forAccelerating Text-to-Image Diffusion Models 来自 Springer 喜欢 0 阅读量: 2 作者:W Chai,D Zheng,J Cao,Z Chen,C Wang,C Ma 摘要: Text-to-image diffusion models (SD) exhibit significant advancements while requiring extensive computational resources....
Experiments on SD v1.5 show that SUN leads to an overall speedup of more than 10 times compared to the baseline 25-step DPM-solver++, and offers two extra advantages: (1) training-free integration into various fine-tuned Stable-Diffusion models and (2) state-of-the-art FIDs of the ...