import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("lora-library/yarosnnv")
prompt = "yarosnnv"
image = pipe(prompt).images[0]LoRA DreamBooth - yarosnnv
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on the instance prompt "yarosnnv" using DreamBooth. You can find some example images in the following.
- Downloads last month
- -
Model tree for lora-library/yarosnnv
Base model
runwayml/stable-diffusion-v1-5