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ntc-ai/SDXL-LoRA-slider.dancing
SDXL-LoRA-slider.dancing is a text-to-image model from ntc-ai. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as mit.
See more at https://sliders.ntcai.xyz/sliders/app/loras/95a18e0a-4f94-40df-8e87-864a18df855c
Downloads · 30 days
21
3% of all-time downloads
All-time downloads
811
Public
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46.1 MB
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0
Public
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.png37.3 MB · 81%
From the Hugging Face model README
| Strength: -3 | Strength: 0 | Strength: 3 |
|---|---|---|
| <img src="images/dancing_17_-3.0.png" width=256 height=256 /> | <img src="images/dancing_17_0.0.png" width=256 height=256 /> | <img src="images/dancing_17_3.0.png" width=256 height=256 /> |
| <img src="images/dancing_19_-3.0.png" width=256 height=256 /> | <img src="images/dancing_19_0.0.png" width=256 height=256 /> | <img src="images/dancing_19_3.0.png" width=256 height=256 /> |
| <img src="images/dancing_20_-3.0.png" width=256 height=256 /> | <img src="images/dancing_20_0.0.png" width=256 height=256 /> | <img src="images/dancing_20_3.0.png" width=256 height=256 /> |
See more at https://sliders.ntcai.xyz/sliders/app/loras/95a18e0a-4f94-40df-8e87-864a18df855c
Weights for this model are available in Safetensors format.
You can apply this LoRA with trigger words for additional effect:
dancing
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.dancing', weight_name='dancing.safetensors', adapter_name="dancing")
# Activate the LoRA
pipe.set_adapters(["dancing"], adapter_weights=[2.0])
prompt = "medieval rich kingpin sitting in a tavern, dancing"
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')
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 1496+ unique and diverse LoRAs along with 14600+ slider merges, 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 <strong>NTC Slider Factory</strong> LoRA creator, allowing you to craft your own custom LoRAs and merges opening up endless possibilities.
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