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--- |
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license: mit |
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task_categories: |
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- text-to-image |
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- image-to-image |
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- unconditional-image-generation |
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tags: |
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- art |
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pretty_name: stained |
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size_categories: |
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- n<1K |
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--- |
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# Stained Glass Art Dataset for Diffusion Models |
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## Overview |
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This dataset consists of 21 high-resolution images of stained glass art, accompanied by corresponding captions. It is designed for fine-tuning diffusion models using techniques such as textual inversion and dreambooth. The dataset is intended to facilitate research and experimentation in generating stained glass art-inspired images. |
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## Dataset Structure |
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- **Images:** The stained glass art images are stored in the "images" directory, with filenames ranging from "0.jpg" to "20.jpg." |
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- **Captions:** Captions for each image are provided in the "captions.csv" file located in the dataset's root directory. The captions contain placeholders for adjectives and a custom token to represent stained glass art. For example: "A {adjective} {token} of a puppy." |
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- **Adjective Placeholders:** During training, the {adjective} placeholder in the captions can be randomly selected from the following list: `["", "good", "cropped", "clean", "bright", "cool", "nice", "small", "large", "dark", "weird"]`. |
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- **Token Placeholder:** The {token} placeholder represents the custom token that needs to be trained to capture the unique art style of stained glass. This token is a key element in generating realistic stained glass art-inspired images. |
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