User Trains SDXL LoRA in 1 Hour on 16GB GPU, Asks for Speed Tips
This hobbyist's setup could change how we think about local AI training speeds.
Deep Dive
A user trained a Stable Diffusion XL LoRA model in just 1 hour using a 16GB RTX 5060 Ti, consuming 13GB VRAM. With a batch size of 4 over 2000 steps, they achieved a solid result but are asking the community if they can push iteration time down to 2-3 seconds per step. The post details their full kohya_ss configuration, sparking a technical debate on optimizing local fine-tuning for consumer hardware.
Why It Matters
It proves high-quality model personalization is becoming accessible, pushing the community to find the absolute limits of consumer hardware.