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("Changg/lora-sdxl-dog2")
prompt = "a monadikos dog in a bucket"
image = pipe(prompt).images[0]SDXL LoRA DreamBooth - Changg/lora-sdxl-dog2
- Prompt
- a monadikos dog in a bucket
- Prompt
- a monadikos dog in a bucket
- Prompt
- a monadikos dog in a bucket
- Prompt
- a monadikos dog in a bucket
Model description
These are Changg/lora-sdxl-dog2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
Trigger words
You should use a monadikos dog to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 5
Model tree for Changg/lora-sdxl-dog2
Base model
stabilityai/stable-diffusion-xl-base-1.0