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ntc-ai/
SDXL-LoRA-slider.in-a-hot-air-balloon-race

Name: SDXL-LoRA-slider.in-a-hot-air-balloon-race
Availability: InStock

stabilityai/stable-diffusion-xl-base-1.0

adapter

mit

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ntcai.xyz slider - in a hot air balloon race (SDXL LoRA)

Strength: -3	Strength: 0	Strength: 3

Download

Weights for this model are available in Safetensors format.

Trigger words

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

in a hot air balloon race

Use in diffusers

python

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.in-a-hot-air-balloon-race', weight_name='in a hot air balloon race.safetensors', adapter_name="in a hot air balloon race")

# Activate the LoRA
pipe.set_adapters(["in a hot air balloon race"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, in a hot air balloon race"
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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