Update README, safetensors and PNGs

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README.md

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+
+---
+language: 
+- en
+thumbnail: "images/evaluate/admiration...disgust/admiration_17_3.0.png"
+widget:
+- text: admiration
+  output:
+    url: images/admiration_17_3.0.png
+- text: admiration
+  output:
+    url: images/admiration_19_3.0.png
+- text: admiration
+  output:
+    url: images/admiration_20_3.0.png
+- text: admiration
+  output:
+    url: images/admiration_21_3.0.png
+- text: admiration
+  output:
+    url: images/admiration_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: "admiration"
+base_model: "stabilityai/stable-diffusion-xl-base-1.0"
+---
+# ntcai.xyz slider - admiration (SDXL LoRA)
+
+| Strength: -3 | Strength: 0 | Strength: 3 |
+| --- | --- | --- |
+| <img src="images/admiration_17_-3.0.png" width=256 height=256 /> | <img src="images/admiration_17_0.0.png" width=256 height=256 /> | <img src="images/admiration_17_3.0.png" width=256 height=256 /> |
+| <img src="images/admiration_19_-3.0.png" width=256 height=256 /> | <img src="images/admiration_19_0.0.png" width=256 height=256 /> | <img src="images/admiration_19_3.0.png" width=256 height=256 /> |
+| <img src="images/admiration_20_-3.0.png" width=256 height=256 /> | <img src="images/admiration_20_0.0.png" width=256 height=256 /> | <img src="images/admiration_20_3.0.png" width=256 height=256 /> |
+
+
+## Download
+
+Weights for this model are available in Safetensors format.
+
+## Trigger words
+
+You can apply this LoRA with trigger words for additional effect:
+
+```
+admiration
+```
+
+## 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.admiration', weight_name='admiration.safetensors', adapter_name="admiration")
+
+# Activate the LoRA
+pipe.set_adapters(["admiration"], adapter_weights=[2.0])
+
+prompt = "medieval rich kingpin sitting in a tavern, admiration"
+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 230+ 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

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