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("wujia/bra")
prompt = "a photo of nnyg bra"
image = pipe(prompt).images[0]LoRA DreamBooth - wujia/bra
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of nnyg bra using DreamBooth. You can find some example images in the following.
- Downloads last month
- 8
Model tree for wujia/bra
Base model
runwayml/stable-diffusion-v1-5