gpt-image
gpt-image-2-prompts-datasets
🖼️ GPT Image 2 Prompt Dataset
🖼️ The ultimate GPT Image 2 prompt dataset (5GB+). 15,000+ image generation prompts with full metadata and preview images. Truly open source: No login, no ads, no redirection. Just pure data for AI image creators.
This project is a massive collection of prompts used for OpenAI's GPT Image 2 model and the resulting generated images. The entire dataset exceeds 5GB and contains 15,000+ images, all structured into a comprehensive dataset.
Due to… See the full description on the dataset page: https://huggingface.co/datasets/Goku-OpenLab/gpt-image-2-prompts-datasets.GPT-Image-Edit-1.5M
GPT-Image-Edit-1.5M A Million-Scale, GPT-Generated Image Dataset
📃Arxiv | 🌐 Project Page | 💻Github
GPT-Image-Edit-1.5M is a comprehensive image editing dataset that is built upon HQ-Edit, UltraEdit, OmniEdit and Complex-Edit, with all output images regenerated with GPT-Image-1.
📣 News
[2025.08.20] 🚀 We provide a script for multi-process downloading. See Multi-process Download.
[2025.07.27] 🤗 We release GPT-Image-Edit, a state-of-the-art image editing model with… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/GPT-Image-Edit-1.5M.gpt-image-2
GPT-Image-2 Twitter Dataset
10,217 confirmed GPT-image-2.0 generated images collected from Twitter/XCollection window: April 21 – April 28, 2026 (first week post-launch)Paper: GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment
Overview
This dataset contains 10,217 images confirmed to be GPT-image-2.0 outputs, sourced from public Twitter/X posts in the immediate aftermath of the model's April 21, 2026 release… See the full description on the dataset page: https://huggingface.co/datasets/Scam-AI/gpt-image-2.GPT-Image-Edit-1M
GPT-Image-Edit-1M Review Artifact
GPT-Image-Edit-1M is a non-commercial research artifact for instruction-guided image editing. It contains GPT-Image-1 regenerated image-editing triplets, auditable quality-control metadata, and a 200-case human-audit package used to calibrate automated judges in the paper.
License: CC BY-NC-SA 4.0, subject to upstream dataset licenses and applicable third-party service terms.
Reviewer note. The Hugging Face Dataset Viewer shows a 400-row inspection… See the full description on the dataset page: https://huggingface.co/datasets/meimeirun/GPT-Image-Edit-1M.GPT_Watercolor_Anime_Style_Images
GPT Watercolor Anime Style Images
Dataset Description
This is a synthetic GPT-generated Watercolor Anime Style image dataset. It contains 120 image-caption pairs with transparent watercolor washes, soft ink linework, pale paper texture, muted colors, and traditional anime illustration scenes.
The images focus on soft watercolor washes, expressive linework, gentle lighting, quiet interiors, nature scenes, village streets, character studies, and calm storybook… See the full description on the dataset page: https://huggingface.co/datasets/neonforestmist/GPT_Watercolor_Anime_Style_Images.GPT_Monet_Style_Images
GPT Monet Style Images
Dataset Description
This is a synthetic GPT-generated Monet-style image dataset. It contains 100 image-caption pairs with impressionist lighting, soft broken color, painterly atmosphere, and garden, water, street, interior, and still-life compositions.
The images focus on luminous outdoor light, loose brushwork, atmospheric color, reflective water, flowers, fields, cozy scenes, cafes, village streets, and calm impressionist subjects.… See the full description on the dataset page: https://huggingface.co/datasets/neonforestmist/GPT_Monet_Style_Images.