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--- |
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language: |
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- en |
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thumbnail: "images/evaluate/color grading.../color grading_17_3.0.png" |
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widget: |
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- text: color grading |
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output: |
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url: images/color grading_17_3.0.png |
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- text: color grading |
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output: |
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url: images/color grading_19_3.0.png |
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- text: color grading |
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output: |
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url: images/color grading_20_3.0.png |
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- text: color grading |
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output: |
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url: images/color grading_21_3.0.png |
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- text: color grading |
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output: |
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url: images/color grading_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: "color grading" |
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base_model: "stabilityai/stable-diffusion-xl-base-1.0" |
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--- |
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# ntcai.xyz slider - color grading (SDXL LoRA) |
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| Strength: -3 | Strength: 0 | Strength: 3 | |
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| --- | --- | --- | |
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| <img src="images/color grading_17_-3.0.png" width=256 height=256 /> | <img src="images/color grading_17_0.0.png" width=256 height=256 /> | <img src="images/color grading_17_3.0.png" width=256 height=256 /> | |
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| <img src="images/color grading_19_-3.0.png" width=256 height=256 /> | <img src="images/color grading_19_0.0.png" width=256 height=256 /> | <img src="images/color grading_19_3.0.png" width=256 height=256 /> | |
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| <img src="images/color grading_20_-3.0.png" width=256 height=256 /> | <img src="images/color grading_20_0.0.png" width=256 height=256 /> | <img src="images/color grading_20_3.0.png" width=256 height=256 /> | |
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## Download |
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Weights for this model are available in Safetensors format. |
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## Trigger words |
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You can apply this LoRA with trigger words for additional effect: |
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``` |
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color grading |
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``` |
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## Use in diffusers |
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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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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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# Load the LoRA |
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pipe.load_lora_weights('ntc-ai/SDXL-LoRA-slider.color-grading', weight_name='color grading.safetensors', adapter_name="color grading") |
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# Activate the LoRA |
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pipe.set_adapters(["color grading"], adapter_weights=[2.0]) |
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prompt = "medieval rich kingpin sitting in a tavern, color grading" |
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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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## Support the Patreon |
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If you like this model please consider [joining our Patreon](https://www.patreon.com/NTCAI). |
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By joining our Patreon, you'll gain access to an ever-growing library of over 1130+ 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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Your support on Patreon will allow us to continue developing and refining new models. |
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## Other resources |
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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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