Datasets:
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README.md
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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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---
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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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limited color palette, no smooth gradients, no anti-aliasing, no blur, sharp pixel edges, retro 16-bit
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MIT License
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```
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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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---
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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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+
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## Dataset Description
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+
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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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| 24 |
+
- **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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