konachan-webp-4Mpixel

# Konachan 4M Re-encoded Dataset

This is the re-encoded dataset of [deepghs/konachan_full](https://huggingface.co/datasets/deepghs/konachan_full). And all the resized images are maintained here.

There are 309751 images in total. The maximum ID of these images is 381215. Last updated at `2024-09-28 18:36:48 UTC`.

# How to Painlessly Use This

Use [cheesechaser](https://github.com/deepghs/cheesechaser) to quickly get images from this repository.

Before using this code, you have to **grant the access from this gated repository**. And then **set your personal HuggingFace token into `HF_TOKEN` environment variable** to give the code authorization for this repository.

```python
from cheesechaser.datapool import KonachanWebpDataPool

pool = KonachanWebpDataPool()
pool.batch_download_to_directory(
# download images #200000-200100, any ranges or id lists are okay
resource_ids=range(200000, 200100),

# save to directory /data/konachan_webp
dst_dir='/data/konachan_webp',
)
```

# Konachan 4M重编码数据集

本数据集为[deepghs/konachan_full](https://huggingface.co/datasets/deepghs/konachan_full)的重编码版本，所有经过尺寸调整的图像均存储于此。

本数据集总计收录309751张图像，图像的最大ID为381215，最后更新时间为`2024-09-28 18:36:48 UTC`。

# 轻松使用指南

可通过[cheesechaser](https://github.com/deepghs/cheesechaser)快速从本仓库获取图像资源。

在运行以下代码前，您需要**申请开通本受控（gated）仓库的访问权限**，并将您的个人Hugging Face令牌（Token）配置到`HF_TOKEN`环境变量中，以授予代码访问本仓库的权限。

python
from cheesechaser.datapool import KonachanWebpDataPool

pool = KonachanWebpDataPool()
pool.batch_download_to_directory(
# download images #200000-200100, any ranges or id lists are okay
resource_ids=range(200000, 200100),

# save to directory /data/konachan_webp
dst_dir='/data/konachan_webp',
)