About
Transformer Lab is an open-source platform designed for researchers, ML engineers, and developers to collaboratively create, examine, and enhance AI models. It prioritizes transparency, reproducibility, and thorough evaluations, ensuring users can trust their research outcomes. The platform continuously evolves to support various advanced functionalities, including the recently added support for Image Diffusion Models, expanding the capabilities for image generation and manipulation.
Highlights
Key Features
- One-click Model Downloads: Effortlessly access hundreds of popular models like Llama3, Phi3, and Stable Diffusion, allowing users to choose the most suitable for their projects.
- Comprehensive Chat Functionality: Engage with models through chatting capabilities with preset prompts and chat history management, making it easy to tweak generation parameters and perform batch inference.
- Image Generation: Generate high-quality images on your own hardware using various popular Diffusion Models such as SDXL and Flux. The platform supports advanced techniques like inpainting and Img2Img.
- Flexible Training Options: Train models from scratch or finetune existing ones using several methods, including pre-training and reinforcement learning approaches.
- Plugin Ecosystem: Utilize existing plugins or create your custom plugins, ensuring that the platform can be tailored to the user's specific needs and capabilities.
- Cross-Platform Support: Enjoy compatibility with multiple operating systems, including Windows, macOS, and Linux, with the option for multi-GPU training to enhance performance and efficiency.
How to Use
To get started, simply download your desired model through the one-click interface, then customize your training or inference settings according to your project's requirements. The intuitive drag-and-drop file interface makes it easy to incorporate your data into the training process.
Transformer Lab empowers users to advance AI technology while maintaining a strong commitment to research integrity.