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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
a painting of japanese shrine in winter with snowfall --w 832 --h 1152 --d 1234
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.
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