metadata
language:
- en
thumbnail: >-
images/evaluate/Crystal Ball Photography.../Crystal Ball
Photography_17_3.0.png
widget:
- text: Crystal Ball Photography
output:
url: images/Crystal Ball Photography_17_3.0.png
- text: Crystal Ball Photography
output:
url: images/Crystal Ball Photography_19_3.0.png
- text: Crystal Ball Photography
output:
url: images/Crystal Ball Photography_20_3.0.png
- text: Crystal Ball Photography
output:
url: images/Crystal Ball Photography_21_3.0.png
- text: Crystal Ball Photography
output:
url: images/Crystal Ball Photography_22_3.0.png
tags:
- text-to-image
- stable-diffusion-xl
- lora
- template:sd-lora
- template:sdxl-lora
- sdxl-sliders
- ntcai.xyz-sliders
- concept
- diffusers
license: mit
inference: false
instance_prompt: Crystal Ball Photography
base_model: stabilityai/stable-diffusion-xl-base-1.0
ntcai.xyz slider - Crystal Ball Photography (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:
Crystal Ball Photography
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.Crystal-Ball-Photography', weight_name='Crystal Ball Photography.safetensors', adapter_name="Crystal Ball Photography")
# Activate the LoRA
pipe.set_adapters(["Crystal Ball Photography"], adapter_weights=[2.0])
prompt = "medieval rich kingpin sitting in a tavern, Crystal Ball Photography"
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')
Support the Patreon
If you like this model please consider joining our Patreon.
By joining our Patreon, you'll gain access to an ever-growing library of over 960+ unique and diverse LoRAs, covering a wide range of styles and genres. You'll also receive early access to new models and updates, exclusive behind-the-scenes content, and the powerful LoRA slider creator, allowing you to craft your own custom LoRAs and experiment with endless possibilities.
Your support on Patreon will allow us to continue developing and refining new models.