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

# LPC Action Pixel Art Diffusion Dataset

This dataset provides LPC-style **action spritesheets** for training
**image-conditional diffusion models**, where a 4-view character image is used
as the conditioning input and an action spritesheet is generated as the output.

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 **action spritesheets** encoding character
motion in a fixed two-dimensional layout. Each spritesheet represents multiple
animation frames across different viewing directions for a single character.

This dataset is designed to be used **in conjunction with** the
[`lpc-4view-pixel-art-diffusion`](https://huggingface.co/datasets/carlosuperb/lpc-4view-pixel-art-diffusion)
dataset, enabling image-to-image training where:

- **Input**: a 4-view character sprite (front, back, left, right)
- **Output**: an action spritesheet conditioned on that character’s appearance

No text captions are included, as the dataset is intended specifically for
image-conditional generation rather than text-to-image training.

---

## Example Input and Target

**4-view character input (reference):**

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

**Action spritesheet target:**

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

Each action spritesheet encodes three actions — **walk**, **thrust**, and
**slash** — arranged in a fixed layout. For each action, animation frames are
provided for all four viewing directions, enabling structured motion generation
conditioned on character appearance.

---

## Action Sheet Representation

Action spritesheets follow a consistent layout convention:

- Rows correspond to viewing directions.
- Columns correspond to animation frames.
- Different actions occupy predefined regions of the sheet.

This structured representation allows diffusion models to learn coherent motion
patterns while preserving appearance consistency across views.

---

## Dataset Structure

```
lpc-action-pixel-art-diffusion/
├─ images/
│ └─ train.zip — Zipped action spritesheets (training targets)
├─ assets/
│ ├─ sample_4view.png — Example 4-view character (documentation only)
│ └─ sample_actions.png — Example action spritesheet (documentation only)
└─ README.md
```


- Training images are stored in a compressed archive for efficient storage and
  distribution.
- 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 **image-conditional diffusion models** that generate action
  spritesheets from 4-view character inputs.
- Research on motion-aware sprite generation and structured pixel-art synthesis.
- Educational and experimental projects involving conditional 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.
- Action annotations are implicit in the spritesheet layout rather than provided
  as explicit labels.
- The dataset assumes a fixed action layout and does not cover arbitrary or
  variable-length animations.

---

## Attribution and License

All action spritesheets are derived from LPC-style pixel-art resources based on
the
[Universal LPC spritesheet by makrohn](https://github.com/makrohn/Universal-LPC-spritesheet/tree/7040e2fe85d2cb1e8154ec5fce382589d369bdb8).

This dataset 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**.