Dual-Resolution Character LoRA: 512 vs 1024 Training Comparison

Woman_512 & Woman_1024 LoRA Models - A Resolution Comparison Experiment

Model Description

This is an experimental release of two LoRA models trained with identical parameters except for one key difference: resolution. Both models were trained on the same dataset, using the same captions, with the same training settings on the WAN 2.2 base model. The only variable changed was the training resolution.

Woman_512: Low-noise model trained at 512x512 resolution

Woman_1024: Low-noise model trained at 1024x1024 resolution

Purpose of This Experiment

The goal is to provide a direct comparison of how training resolution affects LoRA performance on the WAN 2.2 model.

Training Data Details:

Source Image: A single AI-generated image of a fictional woman character

Dataset Creation: The single image was diversified into 24 variations using Qwen Image Edit, creating different poses, expressions, angles, and backgrounds

Captions: Automatically generated using JoyCaption

Character: A completely fictional woman - not based on any real person

Trigger Word: No special trigger word is needed. Simply include "woman" in your prompt.