Datasets:
File size: 1,647 Bytes
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---
language:
- en
- ko
license: mit
task_categories:
- text-to-image
tags:
- pixel-art
- image-generation
- fine-tuning
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 468840177
num_examples: 492
download_size: 468840369
dataset_size: 468840177
---
# Pixel Art Image Dataset
A dataset of pixel art style images with English prompts, designed for text-to-image model fine-tuning.
## Dataset Description
- **Images**: 492 pixel art style images (1024x1024 PNG)
- **Prompts**: English prompts describing each image with pixel art style suffixes
- **Source**: Generated using Tongyi-MAI/Z-Image-Turbo model
- **Subjects**: Korean-inspired creative subjects translated to English prompts
## Dataset Structure
| Field | Type | Description |
|-------|------|-------------|
| image | Image | Pixel art style image (1024x1024) |
| prompt | string | English prompt used to generate the image |
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("mks0813/pixel_image_dataset")
# Access an example
example = dataset["train"][0]
image = example["image"]
prompt = example["prompt"]
```
## Prompt Format
Each prompt follows this structure:
- Subject description in English
- 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"
## License
MIT License
|