pixel_image_dataset / README.md
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metadata
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

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