Goodbye cold boot - how we made LoRA Inference 300% faster

What changed

In this blog we will go in detail over how we achieved that. We've been able to drastically speed up inference in the Hub for public LoRAs based on public Diffusion models. This has allowed us to save compute resources and provide a faster and better user experience.

Why it matters

A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.

How it compares

Related prior coverage to compare against:

• Fast LoRA inference for Flux with Diffusers and PEFT
• Using LoRA for Efficient Stable Diffusion Fine-Tuning
• (LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware

• Fast LoRA inference for Flux with Diffusers and PEFT similarity 0.20
• Using LoRA for Efficient Stable Diffusion Fine-Tuning similarity 0.16
• (LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware similarity 0.15