Datasets:

deepghs
/

fancaps-webp-4Mpixel

license: other
task_categories:
  - image-classification
  - zero-shot-image-classification
  - text-to-image
language:
  - en
tags:
  - art
  - anime
  - not-for-all-audiences
size_categories:
  - 10M<n<100M
annotations_creators:
  - no-annotation
source_datasets:
  - fancaps

Fancaps 4M Re-encoded Dataset

This is the re-encoded dataset of deepghs/fancaps_full. And all the resized images are maintained here.

There are 29004217 images in total. The maximum ID of these images is 31449533. Last updated at 2025-09-04 22:10:59 JST.

How to Painlessly Use This

Use 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.

from cheesechaser.datapool import FancapsWebpDataPool

pool = FancapsWebpDataPool()
pool.batch_download_to_directory(
    # download images #7000000-7000100, any ranges or id lists are okay
    resource_ids=range(7000000, 7000100),

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