Victorian Anime Art XL

This model was painstakingly trained in the course of a week on 500+ images of mostly images I generated with Noisy_Element/VAA/VALite, as well as the dataset from the Victorian Anime Art LoRA. Couldn't get it to train on Colab, due to out of memory issues, so I had no choice but to go the slow method.

This model, like Noisy_Element_XL was trained on 4 categories: full body, Victorian, Monet (the painter, not me), and close up, thus those are the trigger words to invoke a few things. SDXL models and I haven't gotten along well in the past since it struggled to do full-body shots, so I tried to rectify it here. The trigger words are of course optional, as it should work fine without them.

Just like Noisy_Element_XL, this model is baked with the SDXL VAE, thus no external VAEs are necessary.

Recommended Usage:

Run as normal (non-LCM samplers, CFG at 7, steps at around 30)

Though this is essentially the non-LCM version of Noisy_Element_XL, it is compatible with LCM. If you wish to use the LCM samplers on this model, simply use the LCM LoRA in your prompts as you use this checkpoint. In the case of using the LCM LoRA and Sampler, remember to reduce the CFG to about 1-2, reduce the steps to about 8, and you should be good to go.

SDXL LCM LoRA: https://huggingface.co/latent-consistency/lcm-lora-sdxl/resolve/main/pytorch_lora_weights.safetensors?download=true