import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("lora-library/beans1-0")
prompt = "beans1.0"
image = pipe(prompt).images[0]LoRA DreamBooth - beans1-0
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on the instance prompt "beans1.0" using DreamBooth. You can find some example images in the following.
Test prompt: beans1.0
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stabilityai/stable-diffusion-2-1-base