#Cross-domain

TF-ICON presents a new method for image composition using text-driven diffusion models, offering the integration of objects into varied visual contexts without requiring instance-based optimization or model finetuning. This approach maintains the models' inherent qualities by employing a unique prompt to improve the conversion of images into latent forms. TF-ICON has shown to perform better than current methods on multiple datasets, demonstrating its versatility in different visual domains.