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README.md
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![](img/header.webp)
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A LoRA for SDXL 1.0 Base which improves output image quality after loading it and using `wrong` as a negative prompt during inference.
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Benefits of using this LoRA:
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@@ -50,13 +50,13 @@ base.load_lora_weights("minimaxir/sdxl-wrong-lora")
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_ = base.to("cuda")
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```
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During image generation, use `wrong` as the negative prompt.
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## Examples
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**Left image** is the base model output (no LoRA) + refiner, **right image** is base (w/ LoRA) + refiner. Both generations use the same seed.
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I have also [released a Colab Notebook](https://colab.research.google.com/github/minimaxir/sdxl-experiments/blob/main/sdxl_wrong_comparison.ipynb) to generate these kinds of images, although the seeds listed will not give the same results since they were generated on a different GPU/CUDA than the Colab
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`realistic human Shrek blogging at a computer workstation, hyperrealistic award-winning photo for vanity fair` (cfg = 13, seed = 56583700)
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![](img/header.webp)
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A LoRA for SDXL 1.0 Base which improves output image quality after loading it and using `wrong` as a negative prompt during inference. You can demo image generation using this LoRA in [this Colab Notebook](https://colab.research.google.com/github/minimaxir/sdxl-experiments/blob/main/sdxl_image_generation.ipynb)
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Benefits of using this LoRA:
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_ = base.to("cuda")
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```
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During image generation, use `wrong` as the negative prompt. That's it!
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## Examples
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**Left image** is the base model output (no LoRA) + refiner, **right image** is base (w/ LoRA) + refiner. Both generations use the same seed.
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+
I have also [released a Colab Notebook](https://colab.research.google.com/github/minimaxir/sdxl-experiments/blob/main/sdxl_wrong_comparison.ipynb) to generate these kinds of images, although the seeds listed will not give the same results since they were generated on a different GPU/CUDA than the Colab Notebook.
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`realistic human Shrek blogging at a computer workstation, hyperrealistic award-winning photo for vanity fair` (cfg = 13, seed = 56583700)
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