text-to-image
text-to-image-promptsIf you have questions about this dataset , feel free to ask them on the fusion-discord : https://discord.gg/8TVHPf6Edn
This collection contains sets from the fusion-t2i-ai-generator on perchance.
This datset is used in this notebook: https://huggingface.co/datasets/codeShare/text-to-image-prompts/tree/main/Google%20Colab%20Notebooks
To see the full sets, please use the url "https://perchance.org/" + url
, where the urls are listed below:
_generator
gen_e621
fusion-t2i-e621-tags-1… See the full description on the dataset page: https://huggingface.co/datasets/codeShare/text-to-image-prompts.text-to-image-2M
text-to-image-2M: A High-Quality, Diverse Text-to-Image Training Dataset
Citation
@article{zou2026advancing,
title = {Advancing Aesthetic Image Generation via Composition Transfer},
author = {Zou, Kai and Zhao, Zhiwei and Liu, Bin and Yu, Nenghai},
journal = {International Journal of Computer Vision},
volume = {134},
pages = {252},
year = {2026},
doi = {10.1007/s11263-026-02862-8},
url = {https://doi.org/10.1007/s11263-026-02862-8}… See the full description on the dataset page: https://huggingface.co/datasets/jackyhate/text-to-image-2M.X2I-text-to-image
X2I Dataset
Project Page: https://vectorspacelab.github.io/OmniGen/
Github: https://github.com/VectorSpaceLab/OmniGen
Paper: https://arxiv.org/abs/2409.11340
Model: https://huggingface.co/Shitao/OmniGen-v1
To achieve robust multi-task processing capabilities, it is essential to train the OmniGen on large-scale and diverse datasets. However, in the field of unified image generation, a readily available dataset has yet to emerge. For this reason, we have curated a large-scale… See the full description on the dataset page: https://huggingface.co/datasets/yzwang/X2I-text-to-image.surya-ocr-500-image-to-texttext-to-image-human-preference-6M
Benchmark.ai Image Benchmark
Built by Rapidata for Benchmark.ai.
This dataset contains 6,123,853 human responses, collected with the
Rapidata Python SDK, comparing 43 text-to-image models on
1,514 prompts. Each row is a head-to-head comparison between two models' images for the same
prompt, judged by human annotators on up to four questions — Alignment, Preference, Coherence and Text coherence.
Every image is ranked purely by human judgement, no automated metrics. This is the… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-to-image-human-preference-6M.text-to-image-prompts
The dataset of the most popular text-to-image prompts.
Dataset Details
Dataset Description
Curated by: kazimir.ai
Funded by [optional]: [More Information Needed]
Shared by [optional]: https://kazimir.ai
License: apache-2.0
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]
Uses
Free to use.
Dataset Structure
CSV file… See the full description on the dataset page: https://huggingface.co/datasets/Kazimir-ai/text-to-image-prompts.