---
license: cc-by-sa-3.0
tags:
- pixel-art
- diffusion
- image-generation
- sprites
- rpg
- game-assets
task_categories:
- unconditional-image-generation
- text-to-image
size_categories:
- 10K<n<100K
---

# LPC 4-View Pixel Art Diffusion Dataset

This dataset provides LPC-style pixel-art character sprites for training
diffusion models for **unconditional** and **text-to-image** character generation.
It is developed as part of an undergraduate Third Year Project and is intended
for research and educational use.

The accompanying training code, preprocessing scripts, and experiments are
available in the project GitHub repository:
[PIXEL-T2I](https://github.com/carlosuperb/PIXEL-T2I).

---

## Dataset Overview

The dataset consists of LPC-style **4-view character sprites** (front, back,
left, right) paired with **text captions** describing key appearance attributes
such as clothing, equipment, and color scheme.

A fixed 4-view layout is used throughout the dataset, providing a structured
generation target and facilitating evaluation of appearance consistency across
different viewing directions.

---

## Example 4-View Characters

<p align="center">
  <img src="assets/sample_4view.png" width="420"/>
</p>

Each sample contains four directional renderings of the same character arranged
in a consistent layout. These images form the primary training targets for both
unconditional and text-conditioned generation.

---

## Action Sheet Representation

<p align="center">
  <img src="assets/actions_layout.png" width="520"/>
</p>

Action sheets encode character motions into a fixed two-dimensional layout, where
rows correspond to viewing directions and columns correspond to animation frames.
Different actions (e.g. walk, thrust, slash) occupy predefined regions of the
sheet.

Although action sheets are **not included in this dataset**, they are shown here
to illustrate the motion representation used in downstream experiments.
Action data is provided separately in the
[lpc-action-pixel-art-diffusion](https://huggingface.co/datasets/carlosuperb/lpc-action-pixel-art-diffusion)
dataset and is not required for using this dataset for unconditional or
text-to-image generation.

---

## Dataset Structure

```
lpc-4view-pixel-art-diffusion/
├─ images/
│ └─ train.zip — Zipped training images (4-view character sprites)
├─ captions/
│ └─ captions.csv — Text captions for text-to-image training
├─ assets/
│ ├─ sample_4view.png — Example 4-view character (documentation only)
│ └─ actions_layout.png — Action sheet layout illustration (documentation only)
└─ README.md
```

- Training images are stored in compressed archives for efficient storage.
- Files in `assets/` are provided for documentation and illustration purposes
  only and are **not** part of the training set.

---

## Intended Use

This dataset is intended for:

- Training **unconditional diffusion models** for LPC-style 4-view pixel-art
  character generation.
- Training **text-to-image diffusion models** using caption-based appearance
  descriptions.
- Educational and experimental projects involving structured sprite-based
  generative models.

It is **not** intended for use as a production-ready asset library.

---

## Limitations

- The dataset follows LPC visual conventions and may not generalize to
  non-humanoid or non-LPC sprite styles.
- The dataset focuses on static character appearance and does not include
  explicit motion or action annotations.
- Some visual variations and artifacts reflect the original source material.

Users should take these limitations into account when training or evaluating
models.

---

## Attribution and License

All character sprites were generated using the
[Universal LPC spritesheet by makrohn](https://github.com/makrohn/Universal-LPC-spritesheet/tree/7040e2fe85d2cb1e8154ec5fce382589d369bdb8).

This dataset is derived from LPC-style pixel-art resources and follows the
original licensing requirements.

Any use of this dataset or derivative works **must provide appropriate
attribution** and **share derivatives under the same license terms**.

---