SKILL.md
---
name: p-video
description: "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, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video"
allowed-tools: Bash(belt *)
---
> **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)
```bash
belt login
belt app run pruna/p-video --input '{"prompt": "drone shot flying over a forest at sunset"}'
```
## 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
```bash
belt app run pruna/p-video --input '{
"prompt": "waves crashing on a beach at sunset",
"duration": 5,
"resolution": "720p"
}'
```
### Image-to-Video
```bash
belt app run pruna/p-video --input '{
"prompt": "gentle camera movement, clouds drifting",
"image": "https://your-image.jpg"
}'
```
### With Audio
P-Video supports audio input that syncs with the video:
```bash
belt app run pruna/p-video --input '{
"prompt": "person talking in an interview setting",
"audio": "https://your-audio.mp3"
}'
```
### WAN Text-to-Video
Fast and economical text-to-video:
```bash
belt app run pruna/wan-t2v --input '{
"prompt": "a cat playing with a ball of yarn",
"resolution": "720p",
"duration": 5
}'
```
### WAN Image-to-Video
Animate any still image:
```bash
belt app run pruna/wan-i2v --input '{
"prompt": "gentle movement, natural motion, subtle breathing",
"image": "https://portrait.jpg",
"resolution": "720p"
}'
```
### 1080p High Quality
```bash
belt app run pruna/p-video --input '{
"prompt": "cinematic landscape with dramatic clouds",
"resolution": "1080p",
"duration": 5
}'
```
### Draft Mode (Faster, Cheaper)
```bash
belt app run pruna/p-video --input '{
"prompt": "quick concept test video",
"draft": true
}'
```
## 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
```bash
belt app list --namespace pruna
```
## Related Skills
```bash
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
# All video generation models
npx skills add inference-sh/skills@ai-video-generation
# Image-to-video guide
npx skills add inference-sh/skills@image-to-video
# Pruna image generation
npx skills add inference-sh/skills@p-image
# Text-to-speech (for video narration)
npx skills add inference-sh/skills@text-to-speech
```
Browse all apps: `belt app store`
## 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
