Versatile Diffusion implements the first unified multi-flow multimodal diffusion architecture combining VAE, diffuser, and context encoders to handle multiple generation tasks across modalities. It natively supports cross-modal generation and can be extended to semantic-style disentanglement and dual-guided synthesis. The model uses PyTorch and includes a WebUI for convenient inference.