9 datasets found

The dataset used for text-to-image diffusion models, including Bluefire, Paintings, 3D, and Origami styles.

The HPSv2 dataset is a text-image pair dataset containing 3200 prompts and their corresponding images.

The dataset used in this paper is a large-scale text-to-image diffusion model, which consists of 35 subjects with unique pets and objects.

Text-to-image diffusion models with an ensemble of expert denoisers.

The dataset used in this paper for testing the effectiveness of the disguise generation algorithm.

CatVersion allows users to learn the personalized concept through a handful of examples and then utilize text prompts to generate images that embody the personalized concept.

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

A large database of 2 million images, which can also be downloaded and used as open source.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a large-scale captioned image dataset (LAION) used to train the Stable Diffusion model.