8 datasets found

A text-to-image diffusion model trained on a recaptioned dataset to improve image generation quality and semantic alignment.

Adding conditional control to text-to-image diffusion models.

Learning to follow image editing instructions.

Text-to-image generation via masked generative transformers.

Training text-to-image models with web scale image-text pairs enables the generation of a wide range of visual concepts from text. However, these pre-trained models often face...

Text-to-image diffusion models, e.g. Stable Diffusion (SD), lately have shown remarkable ability in high-quality content generation, and become one of the representatives for...

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

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...