## sdxl-negprompt8-v1m.safetensors
Negative embeddings for sdxl. Num vectors per token = 8
 
## stable-cascade-c-lora-hasui-v02.safetensors
Sample of LoRA for Stable Cascade Stage C.

Feb 22, 2024 Update: Fixed a bug that LoRA is not applied to some modules (to_q/k/v and to_out) in Attention.

__This is an experimental model, so the format of the weights may change in the future.__

- a painting of an anthropomorphic penguin sitting in a cafe reading a book and having a coffee --w 1024 --h 1024 --d 1
![sample1](penguin.png)

- a painting of japanese shrine in winter with snowfall --w 832 --h 1152 --d 1234
![sample2](shrine.png)

This model is trained with 169 images with captions. U-Net only, dim=4, conv_dim=4, alpha=1, lr=1e-3, 4 epochs, mixed precision bf16, 8bit AdamW, batch size 8, resolution 1024x1024 with aspect ratio bucketing. VRAM usage is approximately 22 GB.