This application trains a model to reverse the process of adding Gaussian noise to images — essentially learning how to start from noise and create realistic outputs. Inspired by DDPMs like DALL·E 2 ...

To do this, the model is trained, like a diffusion model, to observe the image destruction process, but learns to take an image at any level of obscuration (i.e. with a little information missing ...

Inpaint_images: contains the original images, masked images, as well as the inpainted images based on the RePaint pipeline implemented in pipelines.py. Since our analysis was based on the Linear and ...

When using a model like Stable Diffusion to create non-square images, such as a 16:9 aspect ratio, repetitive elements can lead to strange deformities in the generated image. These deformities, like ...

Last week, Swiss software engineer Matthias Bühlmann discovered that the popular image synthesis model Stable Diffusion could compress existing bitmapped images with fewer visual artifacts than ...

Stable Diffusion 3, the next generation of the popular open source AI image generation model has been unveiled by StabilityAI and it is an impressive leap forward. Details of the new model were ...

• Last but not least, Stable Diffusion refers to the whole domain of text-to-image landscape. The poster children of the text-to-image landscape—Dall-E2, MidJourney, Imagen, etc.—are closed ...