mgane/2D_Video_Game_Cartoon_Character_Sprite-Sheets

---
task_categories:
- text-to-image
- image-classification
- image-to-image
language:
- en
tags:
- art
- video games
size_categories:
- n<1K
---
# Dataset Card for Dataset Name

## Dataset Details

Experimental composition of 76 cartoon art-style video game character spritesheets. Resized to 512x512, mixed variation of animation styles.

### Dataset Description

All images editted using Tiled image editting software as most assets are typically downloaded individually and not in sequence. I compiled each animation sequence into one img to display animations frame-by-frame evenly distributed across some common animations seen in 2D video game art (Idle, Attack, Walk, Running, etc). I had used this same image set for some experimental tests on Stable Diffusion XL via LORA and Dreambooth training methods for some solid results post-training.

- **Curated by:** [m-gane]

### Disclaimer

None of these characters were from my original making, but a compilation from open-source 2D video game asset sites from various artists. For more information regarding source assets please check out: https://itch.io/game-assets/tag-2d and https://opengameart.org/.

原始信息汇总

数据集卡片 for Dataset Name

数据集详情

包含76个卡通艺术风格的视频游戏角色精灵图，尺寸调整为512x512，混合了多种动画风格。

数据集描述

所有图像使用Tiled图像编辑软件编辑，因为大多数资源通常是单独下载的，而不是按顺序下载的。我将每个动画序列编译成一个图像，以显示动画帧均匀分布在2D视频游戏艺术中常见的动画（空闲、攻击、行走、跑步等）。我曾使用这同一组图像进行Stable Diffusion XL通过LORA和Dreambooth训练方法的实验测试，训练后取得了一些可靠的结果。

• 策划者： [m-gane]

免责声明

这些角色都不是我原创的，而是从各种艺术家的开源2D视频游戏资产网站上收集的。有关源资产的更多信息，请访问：https://itch.io/game-assets/tag-2d 和 https://opengameart.org/。