A sampler in text-to-image diffusion is a technique for generating images from text prompts using a diffusion model. Diffusion models are a type of generative model that work by gradually adding noise to an image until it is completely obscured. The sampler then reverses this process, gradually removing noise from the image until it is clear and recognizable.

There are a number of different samplers that can be used in text-to-image diffusion. Some of the most common samplers include:

The choice of sampler will depend on the specific needs of the application. For example, if the application requires real-time image generation, then a simpler sampler such as the DDPM sampler may be preferred. However, if the application requires the highest possible image quality, then a more advanced sampler such as the Score-SDE sampler may be preferred.