A working set on LoRA fine-tuning — training small, targeted adapters on top of base diffusion models so the same workflow can hit a specific subject, style, or brand identity reliably across generations.

The pieces document the loop end-to-end: dataset curation, training, evaluation, and integration into a downstream pipeline alongside ControlNet and img2img. The output is the practical playbook for moving from generic AI generation to a directable, brand-aware tool.

Brief

Personal · LoRA training and integration

Role

Dataset curation · Training · Pipeline integration

Stack

Stable Diffusion · LoRA · ComfyUI

Output

Trained adapters · process posts