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README.md
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@@ -25,4 +25,6 @@ The existence of this dataset serves to provide a basis for in-depth analysis an
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However, the dataset has certain limitations. First, the relatively small number of samples (only 41 examples) may limit the breadth and generalization ability of model training. Second, focusing on the works of a single artist, while beneficial for in-depth studies of a particular style, may result in the model's poorer adaptability to other art styles. Additionally, as the dataset's construction involves web scraping, it may be affected by website updates or changes in copyright policies, leading to uncertainties in data access and use.
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However, the dataset has certain limitations. First, the relatively small number of samples (only 41 examples) may limit the breadth and generalization ability of model training. Second, focusing on the works of a single artist, while beneficial for in-depth studies of a particular style, may result in the model's poorer adaptability to other art styles. Additionally, as the dataset's construction involves web scraping, it may be affected by website updates or changes in copyright policies, leading to uncertainties in data access and use.
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Here is the use case for this dataset: https://colab.research.google.com/drive/1Gmpu1pO3D-H8rWnTe68V49W15LVobYM6?usp=sharing
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This is the Stable Diffusion paper: arxiv: arxiv.org/abs/2112.10752
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