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, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
npx skills add majiayu000/claude-skill-registry --skill p-video --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 (`infsh`). Get installation instructions: `npx skills add inference-sh/skills@agent-tools` ```bash infsh login infsh 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 infsh app run pruna/p-video --input '{ "prompt": "waves crashing on a beach at sunset", "duration": 5, "resolution": "720p" }' ``` ### Image-to-Video ```bash infsh app run pruna/p-video --input '{ "prompt": "gentle camera movement, clouds drifting", "image": "https://your-image.jpg" }' ``` ### With Audio P-Video supports audio
- Quick Start
- Pruna Video Models
- Examples
- Text-to-Video
- Image-to-Video
- With Audio
- WAN Text-to-Video
- WAN Image-to-Video
- 1080p High Quality
- Draft Mode (Faster, Cheaper)
- Resolution Options
- Browse All Pruna Apps
- Related Skills
- Documentation
infsh login
infsh app run pruna/p-video --input '{"prompt": "drone shot flying over a forest at sunset"}'
infsh app run pruna/p-video --input '{
infsh app run pruna/wan-t2v --input '{
infsh app run pruna/wan-i2v --input '{
infsh app list --namespace pruna
Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@agent-tools
All video generation models
npx skills add inference-sh/skills@ai-video-generationWhat does the p-video skill do?
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
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill p-video --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.