Exploring Quantization Backends in Diffusers
Large diffusion models like Flux (a flow-based text-to-image generation model) can create stunning images, but their size can be a hurdle, demanding significant memory and compute resources. Quantization offers a powerful solution, shrinking these models to make them more accessible without drastically compromising performance. But the big question always is: can you actually tell the difference in the final image?
Before we dive into the technical details of how various quantization backends in Hugging Face Diffusers work, why not test your own perception?