How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
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("lora-library/B-LoRA-teddybear")

prompt = "A [v18]"
image = pipe(prompt).images[0]

teddybear

Prompt
A [v18]

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Downloads last month
10
Inference Providers NEW
Examples

Model tree for lora-library/B-LoRA-teddybear

Adapter
(8378)
this model

Spaces using lora-library/B-LoRA-teddybear 5