(LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware

Accelerating PyTorch distributed fine-tuning with Intel technologies

Using LoRA for Efficient Stable Diffusion Fine-Tuning

Beyond LoRA: Can you beat the most popular fine-tuning technique?

An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU

arXiv:2603. 16428v2 Announce Type: replace-cross Abstract: Fine-tuning Large Language Models (LLMs) has become essential for domain adaptation, but its memory-intensive property exceeds the capabilities of most GPUs.

DeltaServe: Host-Agnostic Co-Serving of Inference and Fine-Tuning for LLMs

arXiv:2607. 28848v1 Announce Type: cross Abstract: LLM serving systems are provisioned for peak load to meet strict latency targets, leaving substantial GPU compute idle whenever traffic falls below peak.

Faster assisted generation support for Intel Gaudi