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README.md
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To become an inference rat such as myself, You will need these !
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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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- 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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### π§ Inference tricks
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To become an inference rat such as myself, You will need these !
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### π **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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### π **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
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