datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gpt-image-edit-1-5m-hqeditOutput_dataset_gptImage1GPT_IMAGE_1_Edited_ImagesGPT_Image_1_samplegpt52-sora2-veo31-gptimage15-nexaapi-tutorial
GPT-5.2, Sora 2, Veo 3.1 & GPT Image 1.5 API Tutorial via NexaAPI
Access all four top 2026 AI models through one unified API.
Quick Start
pip install nexaapi
from nexaapi import NexaAPI
client = NexaAPI(api_key='YOUR_API_KEY')
# GPT-5.2
response = client.chat.completions.create(
model='gpt-5.2',
messages=[{'role': 'user', 'content': 'Hello!'}]
)
# GPT Image 1.5
image = client.images.generate(model='gpt-image-1.5', prompt='A sunset', size='1024x1024')
# Sora 2… See the full description on the dataset page: https://huggingface.co/datasets/nickyni/gpt52-sora2-veo31-gptimage15-nexaapi-tutorial.GPT_Image_1_Output_ListOfActionOutput_dataset_gptImage1