This is the Windows app named SimpleTuner whose latest release can be downloaded as v4.1.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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SimpleTuner
DESCRIPTION
SimpleTuner is an open-source toolkit designed to simplify the fine-tuning of modern diffusion models for generating images, video, and audio. The project focuses on providing a clear and understandable training environment for researchers, developers, and artists who want to customize generative AI models without navigating complex machine learning pipelines. It supports fine-tuning workflows for models such as Stable Diffusion variants and other diffusion architectures, enabling users to adapt pretrained models to specialized datasets or creative tasks. The system includes configuration-driven training processes that allow users to define datasets, model paths, and training parameters with minimal setup. SimpleTuner also emphasizes experimentation and academic collaboration, encouraging contributions and iterative improvements from the open-source community.
Features
- LoRA and full-model fine-tuning support
- Training workflows for image, video, and audio diffusion models
- Dataset configuration and management system
- Optional web UI and API-based interaction
- Support for multiple Stable Diffusion variants and related architectures
- Experimentation tools for custom training schedules and checkpoints
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/simpletuner.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
