13 datasets found

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

Text-to-Image Diffusion Models (T2I DMs) have garnered significant attention for their ability to generate high-quality images from textual descriptions. However, these models...

Text-to-Image Diffusion Models (T2I DMs) have garnered significant attention for their ability to generate high-quality images from textual descriptions. However, these models...

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

The dataset used in this paper is a combined dataset of the TI dataset of 5 concepts, and the dataset from DreamBooth with 20 concepts.

The authors present a photorealistic text-to-image diffusion model with deep language understanding.

The dataset used in the paper is a text-to-image diffusion model, which is a type of generative model that can generate images from text prompts.

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

Learning from human feedback has been shown to improve text-to-image models. These techniques first learn a reward function that captures what humans care about in the task and...

A dataset for subject-driven generation, containing 30 subjects, including objects and live subjects/pets.

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 mentioned, but it is implied to be a text-to-image dataset.

DiffusionDB: A large-scale prompt gallery dataset for text-to-image generative models.