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--- |
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language: |
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- en |
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- ko |
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license: mit |
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task_categories: |
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- text-to-image |
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tags: |
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- pixel-art |
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- image-generation |
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- fine-tuning |
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size_categories: |
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- n<1K |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: prompt |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 468840177 |
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num_examples: 492 |
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download_size: 468840369 |
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dataset_size: 468840177 |
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--- |
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# Pixel Art Image Dataset |
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A dataset of pixel art style images with English prompts, designed for text-to-image model fine-tuning. |
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## Dataset Description |
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- **Images**: 492 pixel art style images (1024x1024 PNG) |
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- **Prompts**: English prompts describing each image with pixel art style suffixes |
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- **Source**: Generated using Tongyi-MAI/Z-Image-Turbo model |
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- **Subjects**: Korean-inspired creative subjects translated to English prompts |
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## Dataset Structure |
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| Field | Type | Description | |
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|-------|------|-------------| |
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| image | Image | Pixel art style image (1024x1024) | |
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| prompt | string | English prompt used to generate the image | |
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## Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("mks0813/pixel_image_dataset") |
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# Access an example |
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example = dataset["train"][0] |
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image = example["image"] |
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prompt = example["prompt"] |
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``` |
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## Prompt Format |
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Each prompt follows this structure: |
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- Subject description in English |
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- Fixed pixel art style suffix: "large, clearly visible pixels, chunky pixel blocks, low resolution look, limited color palette, no smooth gradients, no anti-aliasing, no blur, sharp pixel edges, retro 16-bit game style" |
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## License |
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MIT License |
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