AI Image Model Training and Fine-tuning (Stable Diffusion, LoRA)
I built and utilized Stable Diffusion workflows and performed LoRA training for AI image model improvement. This involved dataset preparation, tagging, parameter adjustment, style control, and prompt testing for model output. I compared results and optimized visual asset outputs for content use. • Prepared, cleaned, and tagged image datasets to train LoRA and Stable Diffusion models. • Adjusted hyperparameters and conducted iterative testing to fine-tune AI image models. • Used prompt engineering for model output and visual style evaluation. • Compared training results and selected optimal outputs for content and e-commerce assets.