The Foundation of LoRA Fine-Tuning Always Starts with the Dataset

To successfully carry out LoRA fine-tuning, preparing your dataset is key. This guide provides practical tips on image …

The Secret of LoRA Model Updates - Techniques of Fine-Tuning Similar to Human Memory: Forgetting and Review

Explore the secrets of LoRA model updates, introducing fine-tuning techniques that mimic human memory through mechanism…

Analysis of FLUX1-dev 12B LoRA Fine-tuning Results - 250 vs 1000 Steps, Who is the Winner?

This post analyzes the performance differences between 250 and 1000 steps in fine-tuning the FLUX1-dev 12B model with L…

Practical Experience of Fine-Tuning FLUX 1-dev 12B LoRA on DGX Spark - The Light and Dark of Low-Power, High-Efficiency Training

Sharing practical experience of fine-tuning the FLUX 1-dev 12B model on ARM-based DGX Spark. Detailed analysis of the l…

The Key to Efficient AI Fine-Tuning - A Comprehensive Guide to LoRA

This blog post summarizes how to efficiently fine-tune using LoRA (Low-Rank Adaptation) in the era of large language mo…