StoneSoup is an open-source, flexible platform for AI workflows and experimentation. It focuses on plugin-centric development and extensibility, enabling users to easily test various methods and parameters in their AI projects.
I've just realized that comfy's approach is one of many implementations, and there can be implementations based on HF's transformers/diffusers. Future me, what are other promising approaches to implement an inference? Can we be compatible to all of them?
I've just realized that comfy's approach is one of many implementations, and there can be implementations based on HF's transformers/diffusers. Future me, what are other promising approaches to implement an inference? Can we be compatible to all of them?