CoolFace
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veo3

artificialguybr /veo3-video-prompts Veo 3 Video Generation Dataset English | Português do Brasil English Summary A collection of AI-generated videos created with Google's Veo 3 family of models. Each record contains the original text prompt, the model variant used, the generated video, and (when applicable) the input reference image. Videos are organized into one configuration per model variant. Videos: 5,811 Input images: 1,354 Configurations: 6 Language of prompts: multilingual… See the full description on the dataset page: https://huggingface.co/datasets/artificialguybr/veo3-video-prompts.imagetext-to-video1K<n<10K0 likes5.3k downloads1mo agoHugging FaceRapidata /text-2-video-human-preferences-veo3 Rapidata Video Generation Veo 3 Human Preference In this dataset, ~46k human responses from ~20k human annotators were collected to evaluate Veo3 video generation model on our benchmark. This dataset was collected in roughly 35 minutes using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please consider liking… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-veo3.imagevideo-classification1K<n<10K20 likes570 downloads1y agoHugging Facesou35 /vla-data-aug-veo31-test VLA Data Augmentation (Veo 3.1) Synthetic video samples for vision-language-action (VLA) data augmentation: 8s clips generated with Veo 3.1 on Vertex AI, with per-clip frames and prompt metadata. Dataset summary Model: veo-3.1-generate-001 Duration: 8 seconds per clip, 16:9, no audio Content: Multi-scene prompts (meetings, care, logistics, office, etc.) First batch (runs/): 11 prompts × 6 clips each (English prompts); see RUN_PLAN_5D_11PROMPTS_X6.md. 補齊至每題 18… See the full description on the dataset page: https://huggingface.co/datasets/sou35/vla-data-aug-veo31-test.imagetext-to-video1K<n<10K0 likes217 downloads5mo agoHugging FaceRapidata /text-2-video-human-preferences-veo3.1 Rapidata Video Generation Veo 3.1 Human Preference In this dataset, ~74k human responses from ~23k human annotators were collected to evaluate the Veo 3.1 video generation model on our benchmark. This dataset was collected using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please consider liking it ❤️… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-veo3.1.imagevideo-classification1K<n<10K9 likes202 downloads11mo agoHugging Face34data /gen-videos-veo3videon<1K1 likes61 downloads3mo agoHugging Facenickyni /free-veo3-api-nexaapi Free VEO3 API — Generate AI Videos Without Google Cloud (No Credit Card) Want to use Google Veo 3 without complex GCP setup, enterprise billing, or a credit card? NexaAPI gives you free Veo 3 access in 30 seconds. Get Started Free Sign up at nexa-api.com — no credit card needed Get 100 free video generations Access Veo 3 + 50 other AI models with one API key Quick Start (Python) # pip install nexaapi from nexaapi import NexaAPI client =… See the full description on the dataset page: https://huggingface.co/datasets/nickyni/free-veo3-api-nexaapi.0 likes24 downloads6mo agoHugging Face