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Update README, safetensors and PNGs

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+
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+ ---
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+ language:
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+ - en
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+ thumbnail: "images/evaluate/winner...loser/winner_17_3.0.png"
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+ widget:
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+ - text: winner
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+ output:
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+ url: images/winner_17_3.0.png
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+ - text: winner
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+ output:
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+ url: images/winner_19_3.0.png
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+ - text: winner
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+ output:
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+ url: images/winner_20_3.0.png
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+ - text: winner
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+ output:
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+ url: images/winner_21_3.0.png
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+ - text: winner
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+ output:
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+ url: images/winner_22_3.0.png
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+ tags:
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+ - text-to-image
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+ - stable-diffusion-xl
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+ - lora
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+ - template:sd-lora
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+ - template:sdxl-lora
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+ - sdxl-sliders
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+ - ntcai.xyz-sliders
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+ - concept
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+ - diffusers
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+ license: "mit"
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+ inference: false
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+ instance_prompt: "winner"
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+ base_model: "stabilityai/stable-diffusion-xl-base-1.0"
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+ ---
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+ # ntcai.xyz slider - winner (SDXL LoRA)
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+
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+ | Strength: -3 | Strength: 0 | Strength: 3 |
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+ | --- | --- | --- |
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+ | <img src="images/winner_17_-3.0.png" width=256 height=256 /> | <img src="images/winner_17_0.0.png" width=256 height=256 /> | <img src="images/winner_17_3.0.png" width=256 height=256 /> |
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+ | <img src="images/winner_19_-3.0.png" width=256 height=256 /> | <img src="images/winner_19_0.0.png" width=256 height=256 /> | <img src="images/winner_19_3.0.png" width=256 height=256 /> |
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+ | <img src="images/winner_20_-3.0.png" width=256 height=256 /> | <img src="images/winner_20_0.0.png" width=256 height=256 /> | <img src="images/winner_20_3.0.png" width=256 height=256 /> |
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+
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+
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+ ## Download
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ ## Trigger words
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+
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+ You can apply this LoRA with trigger words for additional effect:
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+
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+ ```
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+ winner
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+ ```
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+
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+ ## Use in diffusers
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+
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+ ```python
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+ from diffusers import StableDiffusionXLPipeline
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+ from diffusers import EulerAncestralDiscreteScheduler
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+ import torch
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+
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+ pipe = StableDiffusionXLPipeline.from_single_file("https://huggingface.co/martyn/sdxl-turbo-mario-merge-top-rated/blob/main/topRatedTurboxlLCM_v10.safetensors")
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+ pipe.to("cuda")
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+ pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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+
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+ # Load the LoRA
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+ pipe.load_lora_weights('ntc-ai/SDXL-LoRA-slider.winner', weight_name='winner.safetensors', adapter_name="winner")
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+
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+ # Activate the LoRA
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+ pipe.set_adapters(["winner"], adapter_weights=[2.0])
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+
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+ prompt = "medieval rich kingpin sitting in a tavern, winner"
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+ negative_prompt = "nsfw"
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+ width = 512
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+ height = 512
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+ num_inference_steps = 10
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+ guidance_scale = 2
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+ image = pipe(prompt, negative_prompt=negative_prompt, width=width, height=height, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps).images[0]
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+ image.save('result.png')
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+ ```
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+
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+ ## Support the Patreon
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+
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+ If you like this model please consider [joining our Patreon](https://www.patreon.com/NTCAI).
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+
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+ By joining our Patreon, you'll gain access to an ever-growing library of over 440+ 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.
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+
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+ Your support on Patreon will allow us to continue developing and refining new models.
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+
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+ ## Other resources
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+
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+ - [CivitAI](https://civitai.com/user/ntc) - Follow ntc on Civit for even more LoRAs
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+ - [ntcai.xyz](https://ntcai.xyz) - See ntcai.xyz to find more articles and LoRAs
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