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/abc123")
prompt = "abc123"
image = pipe(prompt).images[0]LoRA DreamBooth - abc123
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on the instance prompt "abc123" using DreamBooth. You can find some example images in the following.
Test prompt: abc123
- Downloads last month
- 1
Model tree for lora-library/abc123
Base model
stabilityai/stable-diffusion-2-1-base