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("Ridealong/Test")
prompt = "UNICODE\u0000\u0000m\u0000a\u0000l\u0000e\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000 \u0000p\u0000o\u0000l\u0000i\u0000c\u0000e\u0000,\u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000P\u0000o\u0000l\u0000i\u0000c\u0000i\u0000a\u0000M\u0000B\u0000:\u00000\u0000.\u00007\u0000>\u0000"
image = pipe(prompt).images[0]PoliciaMB
- Prompt
- UNICODEmale, realistic, police, <lora:PoliciaMB:0.7>
Model description
Brazil MP uniform
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Weights for this model are available in Safetensors format.
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Base model
stabilityai/stable-diffusion-xl-base-1.0