import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("jafetsierra/lora-trained-xl_rem")
prompt = "a picture of rem an anime maid girl with blue eyes that is smiling"
image = pipe(prompt).images[0]LoRA DreamBooth - jafetsierra/lora-trained-xl_rem
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a picture of rem an anime maid girl with blue eyes that is smiling using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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