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("antonellaavad/leggregator")
prompt = "Representative"
image = pipe(prompt).images[0]LoRA DreamBooth - leggregator
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on the instance prompt "Representative" using DreamBooth. You can find some example images in the following.
Test prompt: Legislator
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Model tree for antonellaavad/leggregator
Base model
stabilityai/stable-diffusion-2-1-base