On the night of 9/20, a new open-weight model, "Qwen Image 2.1", was released in the local image generation community! I'm sure many of you thought, "I want to train a LoRA of my original character ...
Most text-to-image systems run diffusion in a compact latent space and then decode back to pixels through a Variational Autoencoder (VAE). The VAE decoder is reconstruction-oriented - optimized to ...
SinSR（Single Step Diffusion-Based Image Super-Resolution）是一个基于扩散模型的单步图像超分辨率开源项目。该项目由南洋理工大学、鹏城实验室、上海人工智能实验室和香港理工大学的研究人员共同开发 ...
In this study, postimplantation human epiblast and amnion development are modeled using a stem cell–based embryoid system. A dataset of 3697 fluorescent images, along with tissue, cavity, and cell ...
conda create -n dam-vsr python=3.10.14 conda activate dam-vsr pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org ...
A simple diffusion model (DTI) and three advanced diffusion models (DKI, MAP, and NODDI) were constructed based on multishell diffusion scanning. Migration was performed with a generative adversarial ...
扩散模型（DMs）直接在像素领域工作，优化和推断都很费时。为了在有限的计算资源上训练它们，LDM 先使用一个预训练好的 AutoEncoder，将图片像素转换到了维度较小的 latent space 上，而后再进行 ...
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