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("sophwats/out-dir")
prompt = "a photo of toy jensen"
image = pipe(prompt).images[0]LoRA DreamBooth - sophwats/out-dir
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photo of toy jensen using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
- Downloads last month
- 7
Model tree for sophwats/out-dir
Base model
stabilityai/stable-diffusion-xl-base-1.0