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("lberglund/test_20231012100010")
prompt = "a photo of a person showing <thumbs_up> thumbs up"
image = pipe(prompt).images[0]LoRA DreamBooth - lberglund/test_20231012100010
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on "a photo of a person showing thumbs up" 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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