Agent Skills
› NeverSight/learn-skills.dev
› p-video
p-video
GitHub通过inference.sh CLI调用Pruna优化的P-Video及WAN模型，实现文本到视频、图像到视频生成。支持音频同步、多分辨率选择及草稿模式，提供快速且经济的AI视频制作能力。
触发场景
pruna video
p-video
wan t2v
wan i2v
fast video generation
text to video
image to video
安装
npx skills add NeverSight/learn-skills.dev --skill p-video -g -y
SKILL.md
Frontmatter
{
"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 CLI.
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"}'
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 pruna
Related 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-speech
Browse 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
版本历史
- c3c0a1e 当前 2026-07-23 06:59
依赖关系
-
suggested
belt-sh/cli -
suggested
inference-sh/skills@infsh-cli -
suggested
inference-sh/skills@ai-video-generation -
suggested
inference-sh/skills@image-to-video -
suggested
inference-sh/skills@p-image -
suggested
inference-sh/skills@text-to-speech
