Perfusion

Perfusion is a new method that allows designers and creatives to personalize images using text-to-image technology. Unlike other models, Perfusion is small in size, only 100KB, and can be trained in just four minutes.

One of the key features of Perfusion is its ability to combine individually learned concepts into a single generated image. This means that designers can easily merge different visual ideas into a cohesive artwork. Additionally, Perfusion allows users to control the balance between visual fidelity and textual alignment during the creative process, giving them flexibility and control over the final result.

Even when training with just a single image, Perfusion can generate high-quality personalized images with excellent visual fidelity and textual alignment. It outperforms other methods and can be easily transferred to fine-tuned models, expanding its applicability and creative potential. In summary, Perfusion empowers designers and creatives by providing an efficient, user-friendly, and visually appealing text-to-image personalization method. It enables the combination of learned concepts, control over visual-textual alignment, and the generation of high-quality personalized images.