--- language: - en thumbnail: "images/evaluate/playing a musical instrument.../playing a musical instrument_17_3.0.png" widget: - text: playing a musical instrument output: url: images/playing a musical instrument_17_3.0.png - text: playing a musical instrument output: url: images/playing a musical instrument_19_3.0.png - text: playing a musical instrument output: url: images/playing a musical instrument_20_3.0.png - text: playing a musical instrument output: url: images/playing a musical instrument_21_3.0.png - text: playing a musical instrument output: url: images/playing a musical instrument_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: "playing a musical instrument" base_model: "stabilityai/stable-diffusion-xl-base-1.0" --- # ntcai.xyz slider - playing a musical instrument (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: ``` playing a musical instrument ``` ## 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.playing-a-musical-instrument', weight_name='playing a musical instrument.safetensors', adapter_name="playing a musical instrument") # Activate the LoRA pipe.set_adapters(["playing a musical instrument"], adapter_weights=[2.0]) prompt = "medieval rich kingpin sitting in a tavern, playing a musical instrument" 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 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. ## 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