Hugging Face· Platform

Fast LoRA inference for Flux with Diffusers and PEFT

LoRA adapters provide a great deal of customization for models of all shapes and sizes. When it comes to image generation, they can empower the models with different styles, different characters, and much more . Sometimes, they can also be leveraged to reduce inference latency . Hence, their importance is paramount, particularly when it comes to customizing and fine-tuning models. In this post, we take the Flux.1-Dev model for text-to-image generation because of its widespread popularity and adoption, and how to optimize its inference speed when using LoRAs (~2.3x). It has over 30k adapters trained with it ( as reported on the Hugging Face Hub platform). Therefore, its importance to the community is significant. Note that even though we demonstrate speedups with Flux, our belief is that our recipe is generic enough to be applied to other models as well. If you cannot wait to get started with the code, please check out the accompanying code repository . Table of contents …

Announced

23 Jul 2025 00:00 UTC

Detected

03 Aug 2026 21:12 UTC (+376d after)