Tag: Low Rank Adaptation
My first LoRA training with OneTrainer Stable Diffusion models may lead to “standarized” results. Images may be generated with the same face for different prompts. So, to obtain personalized results (a face with specific features, a specific dress/clothing, more detailed eyes, mouth, hands/feet, and so on) Stable Diffusion models (checkpoints) may need a LoRA (or…
LoRA in Stable Diffusion (Low-Rank Adaptation) 1. Introduction to LoRA Low-Rank Adaptation (LoRA) is an advanced technique in machine learning that enables fine-tuning of large pre-trained models with minimal additional parameters. It was originally designed to address the challenge of adapting massive models to specific tasks without the prohibitive cost of training them from scratch…