
p-video
โ 584by halt-catch-fire ยท part of halt-catch-fire/skills
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
This is the playbook your agent receives when the skill activates โ you don't need to read it to use the skill, but it's here to audit before installing.
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 CLI.

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
belt app run pruna/p-video --input '{
"prompt": "waves crashing on a beach at sunset",
"duration": 5,
"resolution": "720p"
}'Image-to-Video
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:
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:
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:
belt app run pruna/wan-i2v --input '{
"prompt": "gentle movement, natural motion, subtle breathing",
"image": "https://portrait.jpg",
"resolution": "720p"
}'1080p High Quality
belt app run pruna/p-video --input '{
"prompt": "cinematic landscape with dramatic clouds",
"resolution": "1080p",
"duration": 5
}'Draft Mode (Faster, Cheaper)
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
belt app list --namespace prunaRelated Skills
# Full platform skill (all 250+ 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-speechBrowse all apps: belt app store
Documentation
- Running Apps - How to run apps via CLI
- Streaming Results - Real-time progress updates
- Content Pipeline Example - Building media workflows
npx skills add https://github.com/halt-catch-fire/skills --skill p-videoRun this in your project โ your agent picks the skill up automatically.
Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
belt app run pruna/p-video --input '{"prompt": "drone shot flying over a forest at sunset"}'No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.