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@@ -62,7 +62,7 @@ Baka-Diffusion\[S3D\] aims to bring a subtle 3D textured look and mimic natural
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- ## πŸ”§ Inference tricks
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  To become an inference rat such as myself, You will need these !
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- ## πŸ“ **Notes and Findings**
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  <details>
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  <summary><kbd>Toggle to read</kbd></summary>
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  Training a standalone aesthetic model within this architecture seems nearly impossible without compromising anatomy quality. Even with a carefully curated dataset, the model doesn't converge into a high-quality aesthetic model. Instead, it appears to converge into an output that represents the average of all the training images, even when efforts are made to maintain a uniform dataset. I wonder if this issue is inherent to the nature of illustrations themselves. Unlike training a model focused on realism, which only requires high-quality data, training a weeb model with an aesthetic focus turns out to be a pain in the rear.
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  </details>
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- ## πŸ”— **Kudos!**
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  - Erasing : https://github.com/rohitgandikota/erasing
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  - Runtime Block Merge : https://github.com/ashen-sensored/sd-webui-runtime-block-merge
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  - Super Merger : https://github.com/hako-mikan/sd-webui-supermerger
 
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+ ### πŸ”§ Inference tricks
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  To become an inference rat such as myself, You will need these !
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+ ### πŸ“ **Notes and Findings**
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  <details>
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  <summary><kbd>Toggle to read</kbd></summary>
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  Training a standalone aesthetic model within this architecture seems nearly impossible without compromising anatomy quality. Even with a carefully curated dataset, the model doesn't converge into a high-quality aesthetic model. Instead, it appears to converge into an output that represents the average of all the training images, even when efforts are made to maintain a uniform dataset. I wonder if this issue is inherent to the nature of illustrations themselves. Unlike training a model focused on realism, which only requires high-quality data, training a weeb model with an aesthetic focus turns out to be a pain in the rear.
 
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  </details>
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+ ### πŸ”— **Credits!**
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  - Erasing : https://github.com/rohitgandikota/erasing
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  - Runtime Block Merge : https://github.com/ashen-sensored/sd-webui-runtime-block-merge
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  - Super Merger : https://github.com/hako-mikan/sd-webui-supermerger