AI Video Generation — model skill for cinematic & short films

For AI agents: find the right skill in one call — curl -s "https://skills.varg.ai/api/search?q=<what the person wants>" returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the use-case page.

Generate video with 40+ models from one CLI: Veo 3.1, Seedance 2.0, HappyHorse, Wan, Grok and more.

What it does

inference.sh's router skill for video generation through the belt CLI, covering 40+ models for text-to-video, image-to-video and reference-driven generation. Highlights include Google Veo 3.1, ByteDance Seedance 2.0, Alibaba HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman and P-Video.

Use when

Install

Models it drives: veo_3_1, seedance_2, happy_horse, wan_2_5, grok_imagine, omnihuman_v1_5, p-video

Example output

https://skills.varg.ai/previews/inference-sh-ai-video-generation.mp4 — Veo example (Veo 3.1 Fast is the skill's quick-start model) from Google DeepMind's Veo page: a sunlit hallway turns into an ice cave and the camera pushes out onto polar bears crossing the snow (credit: Google DeepMind (Veo), https://deepmind.google/models/veo/)

More cinematic & short films skills

Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.