Downloads · 30 days
31
5% of all-time downloads
ntc-ai/SDXL-LoRA-slider.wood-elf
SDXL-LoRA-slider.wood-elf 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.
Weights for this model are available in Safetensors format.
Downloads · 30 days
31
5% of all-time downloads
All-time downloads
651
Public
Repo size
45.8 MB
Likes
1
Public
Click a slice to open those files.
.png37 MB · 81%
From the Hugging Face model README
| Strength: -3 | Strength: 0 | Strength: 3 |
|---|---|---|
| <img src="images/wood elf_17_-3.0.png" width=256 height=256 /> | <img src="images/wood elf_17_0.0.png" width=256 height=256 /> | <img src="images/wood elf_17_3.0.png" width=256 height=256 /> |
| <img src="images/wood elf_19_-3.0.png" width=256 height=256 /> | <img src="images/wood elf_19_0.0.png" width=256 height=256 /> | <img src="images/wood elf_19_3.0.png" width=256 height=256 /> |
| <img src="images/wood elf_20_-3.0.png" width=256 height=256 /> | <img src="images/wood elf_20_0.0.png" width=256 height=256 /> | <img src="images/wood elf_20_3.0.png" width=256 height=256 /> |
Weights for this model are available in Safetensors format.
You can apply this LoRA with trigger words for additional effect:
wood elf
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.wood-elf', weight_name='wood elf.safetensors', adapter_name="wood elf")
# Activate the LoRA
pipe.set_adapters(["wood elf"], adapter_weights=[2.0])
prompt = "medieval rich kingpin sitting in a tavern, wood elf"
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 510+ 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.