12 datasets found

A dataset of pre-trained models and their corresponding text prompts used for text-to-image diffusion models.

A dataset of pre-trained models and their corresponding text prompts used for text-to-image generation and editing.

A dataset of pre-trained models and their corresponding text prompts used for text-to-image generation and editing.

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

The dataset used in the paper for text-to-image generation and style transfer tasks.

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.

A dataset for evaluating the performance of text-to-image models, namely ViLG-300 and ParaPrompts-400.

A dataset for evaluating the performance of text-to-image models, namely ViLG-300 and ParaPrompts-400.

A small but high-quality dataset with manual annotations, namely ParaImage-Small, where the corresponding textual descriptions can extend up to 500 words.

A high-quality, textual rich paragraph-to-image pairs dataset, namely ParaImage-Big, where the corresponding textual descriptions can extend up to 400 words.

A high-quality, textual rich paragraph-to-image pairs dataset, namely ParaImage, where the corresponding textual descriptions can extend up to 400 words.

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...