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("XGGNet/lora-sdxl-dog")
prompt = "a sbu dog in a bucket"
image = pipe(prompt).images[0]SDXL LoRA DreamBooth - XGGNet/lora-sdxl-dog
- Prompt
- a sbu dog in a bucket
- Prompt
- a sbu dog in a bucket
- Prompt
- a sbu dog in a bucket
- Prompt
- a sbu dog in a bucket
Model description
These are XGGNet/lora-sdxl-dog 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 sbu dog to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
stabilityai/stable-diffusion-xl-base-1.0