SDXL-LoRA-slider.winner

ntcai.xyz slider - winner (SDXL LoRA)

See more at https://sliders.ntcai.xyz/sliders/app/loras/6be0cc3f-b66b-4f01-b577-911cb941a212

Download

Weights for this model are available in Safetensors format.

Trigger words

You can apply this LoRA with trigger words for additional effect:

winner

Use in diffusers

from diffusers import StableDiffusionXLPipeline
from diffusers import EulerAncestralDiscreteScheduler
import torch

pipe = StableDiffusionXLPipeline.from_single_file("https://huggingface.co/martyn/sdxl-turbo-mario-merge-top-rated/blob/main/topRatedTurboxlLCM_v10.safetensors")
pipe.to("cuda")
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)

# Load the LoRA
pipe.load_lora_weights('ntc-ai/SDXL-LoRA-slider.winner', weight_name='winner.safetensors', adapter_name="winner")

# Activate the LoRA
pipe.set_adapters(["winner"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, winner"
negative_prompt = "nsfw"
width = 512
height = 512
num_inference_steps = 10
guidance_scale = 2
image = pipe(prompt, negative_prompt=negative_prompt, width=width, height=height, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps).images[0]
image.save('result.png')

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Other resources

• CivitAI - Follow ntc on Civit for even more LoRAs
• ntcai.xyz - See ntcai.xyz to find more articles and LoRAs