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README.md
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@@ -10,13 +10,14 @@ This model was trained on a digital painting style mainly with characters and po
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It's base is Stable Diffusion V2.1 and is trained with 768X768 images. You will need to add the .yaml file into the same directory as your model to use.
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<b>V3:</b>
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Completely retrained from the begining in a fundamentally different process from CharHelper V1 and 2. This new model is much more diverse in range and can output some amazing results.
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It was trained on multiple subjects and styles including buildings, vehicles, and landscapes as well.
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## Usage
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This model has multiple keywords that can be mixed and matched together in order to acheive a multitude of different styles.
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Keywords:
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It's base is Stable Diffusion V2.1 and is trained with 768X768 images. You will need to add the .yaml file into the same directory as your model to use.
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<b>V3:</b>
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<br /><br />
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Completely retrained from the begining in a fundamentally different process from CharHelper V1 and 2. This new model is much more diverse in range and can output some amazing results.
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It was trained on multiple subjects and styles including buildings, vehicles, and landscapes as well.
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## Usage
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This model has multiple keywords that can be mixed and matched together in order to acheive a multitude of different styles. However, keywords aren't necessarily needed but can help with styling.
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Keywords:
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