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security camera footage1from diffusers import StableDiffusionXLPipeline
2from diffusers import EulerAncestralDiscreteScheduler
3import torch
4
5pipe = StableDiffusionXLPipeline.from_single_file("https://huggingface.co/martyn/sdxl-turbo-mario-merge-top-rated/blob/main/topRatedTurboxlLCM_v10.safetensors")
6pipe.to("cuda")
7pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
8
9# Load the LoRA
10pipe.load_lora_weights('ntc-ai/SDXL-LoRA-slider.security-camera-footage', weight_name='security camera footage.safetensors', adapter_name="security camera footage")
11
12# Activate the LoRA
13pipe.set_adapters(["security camera footage"], adapter_weights=[2.0])
14
15prompt = "medieval rich kingpin sitting in a tavern, security camera footage"
16negative_prompt = "nsfw"
17width = 512
18height = 512
19num_inference_steps = 10
20guidance_scale = 2
21image = pipe(prompt, negative_prompt=negative_prompt, width=width, height=height, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps).images[0]
22image.save('result.png')