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@@ -19,10 +19,10 @@ A LoRA for SDXL 1.0 Base which improves output image quality after loading it an
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  Benefits of using this LoRA:
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  - Higher detail in textures/fabrics, particularly at full 1024x1024 resolution.
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- - Higher color saturation and vibrance
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- - Higher sharpness for blurry/background objects
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- - Better at anatomically-correct hands
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- - Less likely to have random artifacts
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  - Appears to allow the model to follow the input prompt with a more expected behavior, particularly with prompt weighting such as the [Compel](https://github.com/damian0815/compel) syntax.
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  ## Usage
@@ -90,4 +90,4 @@ You can see the code to generate the wrong images [in this Jupyter Notebook](htt
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  - The description of this LoRA is very careful to not state that the output is objectively _better_ than not using LoRA, because everything is subjective and there are use cases where vibrant output is not desired. For most use cases, the output should be better desired however.
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  - It's possible to use `not wrong` in the normal prompt itself but in testing it has not much effect.
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  - You can use other negative prompts in conjunction with the `wrong` prompt but you may want to weight them appropriately.
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- - All the Notebooks noted here are available [in this GitHub repo](https://github.com/minimaxir/sdxl-experiments)
 
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  Benefits of using this LoRA:
20
 
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  - Higher detail in textures/fabrics, particularly at full 1024x1024 resolution.
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+ - Higher color saturation and vibrance.
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+ - Higher sharpness for blurry/background objects.
24
+ - Better at anatomically-correct hands.
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+ - Less likely to have random artifacts.
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  - Appears to allow the model to follow the input prompt with a more expected behavior, particularly with prompt weighting such as the [Compel](https://github.com/damian0815/compel) syntax.
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  ## Usage
 
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  - The description of this LoRA is very careful to not state that the output is objectively _better_ than not using LoRA, because everything is subjective and there are use cases where vibrant output is not desired. For most use cases, the output should be better desired however.
91
  - It's possible to use `not wrong` in the normal prompt itself but in testing it has not much effect.
92
  - You can use other negative prompts in conjunction with the `wrong` prompt but you may want to weight them appropriately.
93
+ - All the Notebooks noted here are available [in this GitHub repo](https://github.com/minimaxir/sdxl-experiments).