The dnaSORA model achieves unprecedented precision through a groundbreaking unified architecture that builds on proven success in other fields. Named in recognition of its ambitious scope, dnaSORA ...

An algorithm iteratively reduces number of required diffusion steps by half, using optimization of basic model. Distillation is applied to the model several times, so it becomes possible to sample ...

As a result, Sana-0.6B is very competitive with modern giant diffusion models (e.g. Flux-12B), being 20 times smaller and 100+ times faster in measured throughput. Moreover, Sana-0.6B can be deployed ...

In this paper, we propose a neural speech synthesis system with speech diffusion transformer (SDT) to effectively perform style transfer even ... such as voice conversion and text-to-speech, without ...

AlloyBert is a transformer-based model, meaning researchers input simple English-language descriptors to gain their desired output. Descriptors can include information such as the temperature at ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=34 ...

The strategy used conditional denoising and prototype assignment as the guiding process of generation. The model captured a diverse distribution of time series data by leveraging data from multiple ...

Even so, this component has been touched up further in DLSS 4, especially in games that let you switch from the previously employed Convolutional Neural Networks (CNN) AI model to its new Transformer ...

StableLM is developed by Stability AI, the creators behind Stable Diffusion ... access to large language models. The model is particularly useful for developers, researchers, and businesses looking to ...