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How to Train LoRA Concept Models for Consistent Characters and Styles: A Step-by-Step Guide

In this week’s bonus session, Kent covers how to train a concept model using Invoke, from setting up your dataset to customizing captions and style triggers. This session explores key strategies for organizing and captioning your training data to create a consistent style, while highlighting the distinctions between training a full concept model and creating embeddings. We also dive into Invoke’s Professional Training tools, covering everything from uploading images to auto-captioning, adding triggers, and starting a training job. This hands-on guide is ideal for anyone looking to add custom styles, characters, and objects to their generative AI projects. Chapters (AI-Generated) 00:00 Introduction 00:51 Reasons for Training a LoRA 01:10 Dataset Collection 02:17 Captioning 03:40 Demonstration 13:21 Using LoRA Models in Invoke Join our community:   / discord   Follow us on Instagram:   / invoke.ai   👉 Get started free at https://invoke.com and check out our open-source, locally hosted Community Edition and training scripts at https://github.com/invoke-ai/invoke-t...