FlowEdit is a PyTorch-based implementation of the FlowEdit algorithm for inversion-free text-guided image editing using pre-trained flow models (Stable Diffusion 3 and FLUX). The system takes an input image and source/target prompts, and edits the image by solving an ODE that combines the source and target trajectories in the latent space. The core algorithm is implemented in FlowEdit_utils.py, with run_script.py orchestrating the experiment execution based on YAML configurations. The repository includes a dataset of images and prompts for numerical evaluation.