Commit
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969a423
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Parent(s):
46f2eeb
Update artwork_for_sdxl.py
Browse files- artwork_for_sdxl.py +8 -15
artwork_for_sdxl.py
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@@ -1,5 +1,5 @@
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# coding=utf-8
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# Copyright
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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@@ -12,37 +12,32 @@
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import os
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import pandas as pd
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import datasets
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from
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# from .classes import IMAGENET2012_CLASSES
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_HOMEPAGE = "https://huggingface.co/datasets/
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_CITATION = """\
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title={Learning Robust Global Representations by Penalizing Local Predictive Power},
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author={Wang, Haohan and Ge, Songwei and Lipton, Zachary and Xing, Eric P},
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booktitle={Advances in Neural Information Processing Systems},
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pages={10506--10518},
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year={2019}
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}
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"""
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_DESCRIPTION = """\
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Artwork Images, to
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"""
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_URL = "https://huggingface.co/datasets/wintercoming6/artwork_for_sdxl/resolve/main/metadata.jsonl"
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class Artwork(datasets.GeneratorBasedBuilder):
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"""Artwork Images - a dataset of centuries of Images
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def _info(self):
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return datasets.DatasetInfo(
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@@ -53,10 +48,8 @@ class Artwork(datasets.GeneratorBasedBuilder):
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"image_data": Image,
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}
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),
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supervised_keys=("
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homepage=_HOMEPAGE,
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citation=_CITATION,
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task_templates=[ImageClassification(image_column="image_data", label_column="prompt")],
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)
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def _split_generators(self, dl_manager):
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# coding=utf-8
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# Copyright 2024 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Artwork Images - a dataset of centuries of Images prompt."""
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import os
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import pandas as pd
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import datasets
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from PIL import Image
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# from .classes import IMAGENET2012_CLASSES
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_HOMEPAGE = "https://huggingface.co/datasets/wintercoming6/artwork_for_sdxl/tree/main"
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_CITATION = """\
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Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022). High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 10684-10695).
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}
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"""
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_DESCRIPTION = """\
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Artwork Images, to generate the similar artwork using stable diffusion model.
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"""
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_URL = "https://huggingface.co/datasets/wintercoming6/artwork_for_sdxl/resolve/main/metadata.jsonl"
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class Artwork(datasets.GeneratorBasedBuilder):
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"""Artwork Images - a dataset of centuries of Images prompt."""
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def _info(self):
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return datasets.DatasetInfo(
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"image_data": Image,
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}
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),
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supervised_keys=("prompt","image_data"),
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homepage=_HOMEPAGE,
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)
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def _split_generators(self, dl_manager):
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