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("smit-mehta/orange-juice-ad")
prompt = "photos of the orange juice bottle used for orange juice brand advertisement."
image = pipe(prompt).images[0]LoRA DreamBooth - smit-mehta/orange-juice-ad
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on photos of the orange juice bottle used for orange juice brand advertisement. using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
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