--- language: - en thumbnail: "images/evaluate/radiant green eyes.../radiant green eyes_17_3.0.png" widget: - text: radiant green eyes output: url: images/radiant green eyes_17_3.0.png - text: radiant green eyes output: url: images/radiant green eyes_19_3.0.png - text: radiant green eyes output: url: images/radiant green eyes_20_3.0.png - text: radiant green eyes output: url: images/radiant green eyes_21_3.0.png - text: radiant green eyes output: url: images/radiant green eyes_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: "radiant green eyes" base_model: "stabilityai/stable-diffusion-xl-base-1.0" --- # ntcai.xyz slider - radiant green eyes (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: ``` radiant green eyes ``` ## 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.radiant-green-eyes', weight_name='radiant green eyes.safetensors', adapter_name="radiant green eyes") # Activate the LoRA pipe.set_adapters(["radiant green eyes"], adapter_weights=[2.0]) prompt = "medieval rich kingpin sitting in a tavern, radiant green eyes" 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 590+ 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. ## 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