OneDiffusion

OneDiffusion is an open-source one-stop shop for facilitating the deployment of any diffusion models in production. It caters specifically to the needs of diffusion models, supporting both pretrained and fine-tuned diffusion models with LoRA adapters.

Key features include:

• 🌐 Broad compatibility: Support both pretrained and LoRA-adapted diffusion models, providing flexibility in choosing and deploying the appropriate model for various image generation tasks. It currently supports Stable Diffusion (v1.4, v1.5 and v2.0) and Stable Diffusion XL (v1.0) models. Support for more models (for example, ControlNet) is on the way.
• 💪 Optimized performance and scalability: Apply the best in class optimizations for serving diffusion models on your behalf.
• ?? Dynamic LoRA adapter loading: Dynamically load and unload LoRA adapters on every request, providing greater adaptability and ensuring the models remain responsive to changing inputs and conditions.
• 🍱 First-class support for BentoML: Seamless integration with the BentoML ecosystem, allowing you to build Bentos and push them to BentoCloud.

OneDiffusion is designed for AI application developers who require a robust and flexible platform for deploying diffusion models in production. The platform offers tools and features to fine-tune, serve, deploy, and monitor these models effectively, streamlining the end-to-end workflow for diffusion model deployment.