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("MarkBW/sofilein-xl")
prompt = "<lora:sofilein-XL:1> sofilein, ,a woman wearing button shirt and denim shorts, old town"
image = pipe(prompt).images[0]sofilein-xl
- Prompt
- <lora:sofilein-XL:1> sofilein, ,a woman wearing button shirt and denim shorts, old town
- Negative Prompt
- cgi, 3d, bad quality, worst quality
Trigger words
You should use sofilein 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