Trained on Aurora XL base[pony XL] v1.0 https://civitai.com/models/301957/aurora-xl-basepony-xl. It is a pony based checkpoint that is great for style LoRA training.

Regarding LoRA file size:

A higher DIM results in a bigger size.

Training with a lower DIM (for example 32) takes slightly less amount of time but gets worse in learning artist style. If you need to reduce LoRA size, try "remake dimension" using extension SuperMerge.

Here is comparison of:
1. anmiXL_V1 (870MB)

2. anmiXL_V1 remake dimension to DIM32 (217MB)

3. Same dataset trained with DIM32 natively (217MB)

https://civitai.com/posts/1379092

I personally feel "remake dimension" is better than training with DIM32 natively.