--- language: - en thumbnail: "images/evaluate/drinking a coke in the 1950s.../drinking a coke in the 1950s_17_3.0.png" widget: - text: drinking a coke in the 1950s output: url: images/drinking a coke in the 1950s_17_3.0.png - text: drinking a coke in the 1950s output: url: images/drinking a coke in the 1950s_19_3.0.png - text: drinking a coke in the 1950s output: url: images/drinking a coke in the 1950s_20_3.0.png - text: drinking a coke in the 1950s output: url: images/drinking a coke in the 1950s_21_3.0.png - text: drinking a coke in the 1950s output: url: images/drinking a coke in the 1950s_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: "drinking a coke in the 1950s" base_model: "stabilityai/stable-diffusion-xl-base-1.0" --- # ntcai.xyz slider - drinking a coke in the 1950s (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: ``` drinking a coke in the 1950s ``` ## 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.drinking-a-coke-in-the-1950s', weight_name='drinking a coke in the 1950s.safetensors', adapter_name="drinking a coke in the 1950s") # Activate the LoRA pipe.set_adapters(["drinking a coke in the 1950s"], adapter_weights=[2.0]) prompt = "medieval rich kingpin sitting in a tavern, drinking a coke in the 1950s" 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