--- language: - en thumbnail: "images/upside down person_17_3.0.png" widget: - text: upside down person output: url: images/upside down person_17_3.0.png - text: upside down person output: url: images/upside down person_19_3.0.png - text: upside down person output: url: images/upside down person_20_3.0.png - text: upside down person output: url: images/upside down person_21_3.0.png - text: upside down person output: url: images/upside down person_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: "upside down person" base_model: "stabilityai/stable-diffusion-xl-base-1.0" --- # ntcai.xyz slider - upside down person (SDXL LoRA) | Strength: -3 | Strength: 0 | Strength: 3 | | --- | --- | --- | | | | | | | | | | | | | See more at [https://sliders.ntcai.xyz/sliders/app/loras/086410a2-a82f-4f41-9d6d-c1cde35a122d](https://sliders.ntcai.xyz/sliders/app/loras/086410a2-a82f-4f41-9d6d-c1cde35a122d) ## Download Weights for this model are available in Safetensors format. ## Trigger words You can apply this LoRA with trigger words for additional effect: ``` upside down person ``` ## 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.upside-down-person', weight_name='upside down person.safetensors', adapter_name="upside down person") # Activate the LoRA pipe.set_adapters(["upside down person"], adapter_weights=[2.0]) prompt = "medieval rich kingpin sitting in a tavern, upside down person" 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](https://www.patreon.com/NTCAI). By joining our Patreon, you'll gain access to an ever-growing library of over 1496+ unique and diverse LoRAs along with 14602+ 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 NTC Slider Factory LoRA creator, allowing you to craft your own custom LoRAs and merges opening up endless possibilities. Your support on Patreon will allow us to continue developing new models and tools. ## Other resources - [CivitAI](https://civitai.com/user/ntc) - Follow ntc on Civit for even more LoRAs - [ntcai.xyz](https://ntcai.xyz) - See ntcai.xyz to find more articles and LoRAs