8 datasets found

A benchmark for open-world compositional text-to-image generation. The dataset consists of 218 prompts with a single object and its number.

A dataset for text-to-image generation with accurate object count. The dataset consists of 200 prompts with various classes, numbers, and scenes.

The dataset used for training the diffusion model, containing 2M images.

The dataset used in the paper is LAION-2B, which is a large-scale image-text dataset. The authors fine-tune a pre-trained diffusion model with a subset of LAION-2B with 10k...

The CustomConcept101 dataset is a dataset of 101 concepts across 16 broader categories, used for evaluating personalization approaches in text-to-image diffusion models.

The dataset used for training and evaluation of the W¨urstchen model.

The dataset used for training and evaluation of the W¨urstchen model.

The dataset used in the paper is not explicitly mentioned, but it is implied to be a text-to-image dataset.