LearnFlat · AI Applications (Interdisciplinary) · AI for Creative Arts & Design

Fine-Tuning Generative Models

Go beyond basic prompting by training or fine-tuning generative models on your own data. Create custom AI models that replicate a specific artistic style or generate niche content using techniques like LoRA.

Fine-Tuning Generative Models

Train Custom Art Styles with Stable Diffusion and LoRA

AI Product Photography: Train a Custom Flux LoRA

Stable Diffusion LoRA Training: Datasets to Deployment

ComfyUI LoRA Training for SDXL and Flux Character Models

Train Custom Flux LoRAs in ComfyUI for Faces and Products

CATIA V5 3D Modeling and Mechanical Design for Beginners

Catia Generative Shape Design: Foundational Surface Modeling

CATIA Generative Shape Design: Surface Modeling Essentials

Fine-Tuning Image Diffusion Models: A Practical Guide

Machine Learning Model Evaluation and Benchmarking

Tuning Confluence Settings for Performance and Scale

Improving Azure Custom Vision Model Performance

Model Customization and Fine-Tuning on Bedrock

Training ELECTRA Models for Natural Language Processing

Hands-On Model Tuning and Hyperparameter Optimization

Fine-Tuning Models with the OpenAI API

Controlling LLM Outputs with Model Parameters

Foundation Models Explained: A Practical Guide for Beginners

Foundations of Fine-Tuning Large Language Models

Fine-Tuning Generative Models: Concepts, Trade-offs, and When to Use It

A Practical LoRA and Dreambooth Workflow for Personal Fine-Tuning

Building a Personal Portfolio with Custom Generative Models