Introducing StyleDrop, an innovative AI tool developed by Google Research that empowers users to generate images in any desired style. With the help of Muse, a text-to-image generative vision transformer, StyleDrop captures the intricate details of a style, ranging from color schemes to shading, design patterns, and local and global effects. What sets StyleDrop apart is its ability to achieve this with minimal trainable parameters, less than 1% of the total model parameters. Furthermore, it continually refines image quality through iterative training, even when provided with just a single image as the style reference.
In a comprehensive study, StyleDrop outshined other methods such as DreamBooth and Textual Inversion in fine-tuning text-to-image models for style. It excels in generating top-notch images by seamlessly combining text prompts with natural language style descriptors appended to content descriptors during both training and generation. Not only does StyleDrop create consistent-styled alphabet images, but it also offers the opportunity to collaborate and train using your own brand assets. By merging StyleDrop with DreamBooth, users can produce personalized images of “MY SUBJECT” in “MY STYLE”.
Acknowledgements are extended to the generous image owners who shared their valuable assets for experimentation purposes. Links to these assets are readily available. StyleDrop on Muse, a discrete-token-based vision transformer, surpasses existing diffusion-based models such as Imagen and Stable Diffusion when it comes to style-tuning performance. With StyleDrop, you have a versatile tool at your disposal, effortlessly blending the power of AI with style transfer techniques to create visually striking images.
