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README.md
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tags:
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- Text-to-Image
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- Stable Diffusion
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arxiv: arxiv.org/abs/2112.10752
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This dataset focuses on the works of a specific artist named Shitao, with its data sourced from Google Arts & Culture's Shitao page (link: https://artsandculture.google.com/entity/shitao/m06blwm). The creation of this dataset is in response to feedback from Professor Huang's proposal, aiming for a deeper exploration and analysis of Shitao's artworks. The collection and processing of the dataset involve web scraping scripts, data processing, and tagging with the bilp2 model, with these scripts and related codes made public in a GitHub repository (link: https://github.com/mhy-666/artwork_for_sdxl_dataset).
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The schema of the dataset comprises two features: prompt and image_data, representing the description of the artworks (string type) and image data (image type), respectively. The dataset is divided into a train split, containing 41 examples, with a total data size of 1,339,678 bytes and a download size of 4,170 bytes.
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tags:
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- Text-to-Image
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- Stable Diffusion
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---
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arxiv: arxiv.org/abs/2112.10752
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This dataset focuses on the works of a specific artist named Shitao, with its data sourced from Google Arts & Culture's Shitao page (link: https://artsandculture.google.com/entity/shitao/m06blwm). The creation of this dataset is in response to feedback from Professor Huang's proposal, aiming for a deeper exploration and analysis of Shitao's artworks. The collection and processing of the dataset involve web scraping scripts, data processing, and tagging with the bilp2 model, with these scripts and related codes made public in a GitHub repository (link: https://github.com/mhy-666/artwork_for_sdxl_dataset).
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The schema of the dataset comprises two features: prompt and image_data, representing the description of the artworks (string type) and image data (image type), respectively. The dataset is divided into a train split, containing 41 examples, with a total data size of 1,339,678 bytes and a download size of 4,170 bytes.
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