import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("lora-library/lora-dreambooth-sample-dog", dtype=torch.bfloat16, device_map="cuda")
prompt = "sksdog"
image = pipe(prompt).images[0]LoRA DreamBooth - lora-dreambooth-sample-dog
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on the instance prompt "sksdog" using DreamBooth. You can find some example images in the following.
Test prompt: a photo of a sksdog in a bucket
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Base model
stabilityai/stable-diffusion-2-1-base