Datasetpublic

pulnip/ghibli-dataset

Ghibli Real vs AI-Generated Dataset One sample per line Includes: id, image, label, description Use this for standard classification or image-text training Real images sourced from Nechintosh/ghibli (810 images) AI-generated images created using: nitrosocke/Ghibli-Diffusion (2637 images) KappaNeuro/studio-ghibli-style (810 images) Note: While the KappaNeuro repository does not explicitly state a license, it is a fine-tuned model based on Stable Diffusion XL, which is… See the full description on the dataset page: https://huggingface.co/datasets/pulnip/ghibli-dataset.

sourceHugging Faceotherupdated 1y agoView on Hugging Face

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Ghibli Real vs AI-Generated Dataset

—One sample per line
—Includes: id, image, label, description
—Use this for standard classification or image-text training

—Real images sourced from Nechintosh/ghibli (810 images)
—AI-generated images created using:
—nitrosocke/Ghibli-Diffusion (2637 images)
—KappaNeuro/studio-ghibli-style (810 images)
—Note: While the KappaNeuro repository does not explicitly state a license, it is a fine-tuned model based on Stable Diffusion XL, which is distributed under the CreativeML Open RAIL++-M License. Therefore, it is assumed that this model inherits the same license and non-commercial restrictions.

How to load

python

from datasets import load_dataset

samples = load_dataset("pulnip/ghibli-dataset", split="train")

# Convert labels to binary classification: 'real' vs 'ai'
# Note: The original "label" field contains "real", "nitrosocke", and "KappaNeuro".
#       You can treat all non-"real" labels as "ai" to use this dataset for binary classification.
for sample in samples:
    sample["binary_label"] = "real" if sample["label"] == "real" else "ai"

License and Usage

This dataset combines data from multiple sources. Please review the licensing conditions carefully.

Real Images

—Source: Nechintosh/ghibli
—License: Not explicitly stated; assumed for non-commercial research use only

AI-Generated Images

—Source models:
—nitrosocke/Ghibli-Diffusion Loaded with: torch_dtype=torch.float16
—KappaNeuro/studio-ghibli-style Loaded with: torch_dtype=torch.float16, variant="fp16"
—These models are provided under community licenses that generally restrict usage to non-commercial and research purposes.

Summary

This repository is not published under a single license such as MIT. Because the dataset includes content from multiple sources with varying restrictions, the dataset is licensed under 'other' and should be treated as non-commercial research-use only.

Users are responsible for reviewing each component’s license terms before redistribution or adaptation.