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("Yacong/allu-lora-trained-xl")
prompt = "a photo of allu doll"
image = pipe(prompt).images[0]LoRA DreamBooth - Yacong/allu-lora-trained-xl
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photo of allu doll using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
Special VAE used for training: None.
- Downloads last month
- 4
Model tree for Yacong/allu-lora-trained-xl
Base model
stabilityai/stable-diffusion-xl-base-1.0