p-video
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fa
By skills-101 · 8 installs
npx skills add skills-101/superpowers --skill p-video
Source repository · Upstream listing
Install the belt CLI skill: npx skills add belt sh/cli
Pruna P Video Generation
Generate videos with Pruna's optimized video models via [inference.sh](https://inference.sh) CLI.

Quick Start
Requires inference.sh CLI ( belt ). [Install instructions](https://raw.githubusercontent.com/inference sh/skills/refs/heads/main/cli install.md)
Pruna Video Models
Pruna optimizes AI models for speed without sacrificing quality.
Model App ID Best For
P Video pruna/p video Text to video, image to video, with audio
WAN T2V pruna/wan t2v Text to video, 480p/720p
WAN I2V pruna/wan i2v Animate images, 480p/720p
Examples
Text to Video
Image to Video
With Audio
P Video supports audio input that syncs with the video:
WAN Text to Video
Fast and economical text to video:
WAN Image to Video
Animate any still image:
1080p High Quality
Draft Mode (Faster, Cheaper)
Resolution Options
Model Resolutions Pricing
P Video 720p, 1080p Per second, varies by resolution/draft
WAN T2V 480p, 720p $0.05 (480p), $0.10 (720p) per video
WAN I2V 480p, 720p $0.05 (480p), $0.11 (720p) per video
Browse All Pruna Apps
Related Skills
Browse all apps: belt app list
Documentation
[Running Apps](https://inference.sh/docs/apps/running) How to run apps via CLI
[Streaming Results](https://inference.sh/docs/api/sdk/streaming) Real time progress updates
[Content Pipeline Example](https://inference.sh/docs/examples/content pipeline) Building media workflows