video-prompt
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.minimax-h3-video-prompts
MiniMax H3 Video Prompts
A small, curated collection of 50 structured prompts for text-to-video and image-to-video workflows. It covers cinematic scenes, characters, animation, nature, architecture, product shots, food, social video, and fantasy environments.
Use the prompts to create video
Copy a prompt from the dataset, adapt it to your idea, then generate the finished video online.
Create an AI video with MiniMax3.org →
Dataset details… See the full description on the dataset page: https://huggingface.co/datasets/jayseanbrambila/minimax-h3-video-prompts.cfg-sensitive-video-prompts
CFG-Sensitive Video Prompts
A provenance-first, text-only prompt suite for comparing classifier-free guidance behavior in video generation. It contains 22 English prompts:
existing_visualized: 6 prompts used by the local Wan2.2-TI2V-5B CFG-only LoRA scale-sweep report.
cfg_sensitive_candidate: 16 additional prompts selected because color/attribute binding, numeracy, readable text, spatial relations, temporal change, fluid motion, weather, camera motion, multi-subject… See the full description on the dataset page: https://huggingface.co/datasets/Perflow-Shuai/cfg-sensitive-video-prompts.action-prompt-checkpoint-video-eval-20260828
Action-Prompt checkpoint-10000 video evaluation
This dataset contains fresh end-to-end Wan video rollouts used by the companion gallery Space. It contains 24 generated MP4s (four experiments, six samples each), 24 ground-truth clips, input/generated frame PNGs, and per-sample JSON receipts. Every MP4 is 81 frames at 832x480 and 16 fps.
The global-env experiments use the 2026-08-27 environment-prompt manifests and chunk_causal=true. The self-attn-full experiments use the… See the full description on the dataset page: https://huggingface.co/datasets/mikusama99/action-prompt-checkpoint-video-eval-20260828.class-to-video-prompt-generationVideo-Diffusion-Prompt-Style
Video-Diffusion-Prompt-Style
This dataset was created using the Claude Dataset Skill.