A study by Hof University shows that using large language models to revise prompts can significantly reduce bias in ...

particularly when ensuring that generated content seamlessly integrates with existing parts of an image. While recent diffusion models have shown promise, they often struggle with maintaining ...

We identify that the noise introduced by SDEdit disrupts the semantic integrity of the image, leading to unintended associations between unrelated regions after U-Net upsampling. Building on the ...

Give the model a picture of a black cat and from that point the model will learn how to recreate a similar image with infinite variations, simply through using this process of noise diffusion and ...

Like MidJourney, each prompt generates four different image variations, giving users multiple options to choose from. Users can tweak various image settings, such as colors, lighting, and ...