Instagirl WAN 2.2

Instagirl v2.5 is a significant update focused on increasing model diversity and detail fidelity.

• Expanded Dataset: This version is trained on a new, highly-curated dataset of over 2,400 images. The primary goal of this expansion was to reduce the "signature face" effect of previous versions and increase the variety of generated characters.

• Increased Network Rank: Instagirl v2.5 low noise model was trained at a network rank of 256. This provides the LoRA with a significantly greater capacity for learning fine details, which can result in improved skin textures and more nuanced lighting, particularly in close-up compositions. High noise we have kept as rank 32 for smaller download size as it does not benefit from the higher rank which only helps with details.