OneTrainer is a comprehensive training solution catering to stable diffusion models, including Stable Diffusion 1.5, 2.0, 2.1, SDXL, Würstchen-v2, and inpainting models. Boasting diverse features such as masked training, automatic backups, image augmentation, and multi-resolution training, OneTrainer simplifies the fine-tuning process. The platform offers a user-friendly interface with preset configurations for quick setup, separate workspaces for distinct training runs, and advanced settings for caching, tensorboard integration, and model specifications. Its flexibility extends to input/output model settings, data configurations, and training parameters, making it a versatile tool for efficient and tailored diffusion model training. Additionally, the backup and continuation features facilitate a seamless training experience, allowing users to regularly back up and convert model data for continuous progress.