ai-toolkit

A collection of AI scripts primarily used for Stable Diffusion models.

CommonProductImageMachine LearningImage Generation

ai-toolkit is a research-oriented GitHub repository created by Ostris, primarily used for experiments and training with Stable Diffusion models. It contains a variety of AI scripts that support model training, image generation, LoRA extraction, and more. The toolkit is still in development and may have some instability, but it offers rich features and high customizability.

Supports training and experimentation with Stable Diffusion models.
Provides LoRA and LoCON extractors for feature extraction and model optimization.
Includes a LoRA Slider Trainer to create sliders for adjusting specific features in images.
Supports model merging
enabling the fusion of multiple models through extended functionalities.
Offers VAE (Variational Autoencoder) training tools
although still under development.
Allows custom extensions
letting users develop new features according to their needs.
Provides detailed documentation and example configuration files to facilitate user learning and usage.

\The target audience primarily consists of AI researchers
machine learning engineers
and advanced users interested in Stable Diffusion models. These users typically require advanced operations such as model training
image generation
and feature extraction

Train a custom Stable Diffusion model using ai-toolkit to generate images in a specific style.
Utilize the LoRA extractor to optimize the feature extraction capabilities of an existing model
improving image recognition accuracy.
Create sliders using the LoRA Slider Trainer to control specific features in images
such as types of animals.

First
ensure your system meets the requirements to run ai-toolkit
including the appropriate Python version and Nvidia GPU.
Clone or download the ai-toolkit repository to your local environment.
Select an appropriate configuration file or create a new one based on your needs.

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