ntc-ai/SDXL-LoRA-slider.back-to-the-future-film-still
017
language:
- en thumbnail: "images/evaluate/back to the future film still.../back to the future film still173.0.png" widget:
- text: back to the future film still output: url: images/back to the future film still173.0.png
- text: back to the future film still output: url: images/back to the future film still193.0.png
- text: back to the future film still output: url: images/back to the future film still203.0.png
- text: back to the future film still output: url: images/back to the future film still213.0.png
- text: back to the future film still output: url: images/back to the future film still223.0.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 instanceprompt: "back to the future film still" basemodel: "stabilityai/stable-diffusion-xl-base-1.0" ---
ntcai.xyz slider - back to the future film still (SDXL LoRA)
Download
Weights for this model are available in Safetensors format.
Trigger words
You can apply this LoRA with trigger words for additional effect:
back to the future film stillUse 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.back-to-the-future-film-still', weight_name='back to the future film still.safetensors', adapter_name="back to the future film still")
# Activate the LoRA
pipe.set_adapters(["back to the future film still"], adapter_weights=[2.0])
prompt = "medieval rich kingpin sitting in a tavern, back to the future film still"
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 1140+ 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.