P Video

Prerequisites

Install and load these skills before generating (skip if already in context via @pruna):

Or install the full suite once: npx skills add PrunaAI/pruna-skills@pruna -y

Follow each skill's Before generating / craft sections — do not restate guide content here.

Agent habit

Routing: Use `p-video` for simple, quick clips — drafts, light B-roll, short motion. When the brief needs best quality (polished delivery, tight lip-sync, native audio, hero shots), use `p-video-2`.

In the first reply, name `p-video` in backticks, confirm PRUNA_API_KEY (or stop with signup links from pruna-api), then ask for required inputs. Open intake → generation-diversity clarification intake before the first POST. When drafting motion prompts, follow Prompt craft (dynamic + faithful) — do not paste skill examples. Redirect when When NOT to use fits better.

Prompt craft (dynamic + faithful)

Every input.prompt must be fresh and specific, and must match the user's beat. Diversity never overrides the brief.

Fidelity check (before pay): if you remove the user's named subject/action/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.

When showing a drafted prompt, still name `p-video` (guides help craft; this tool owns the call).

Skill boundary

This skill = one p-video prediction per invocation.

Out of scope (do not execute from this skill):

• Multi-scene assembly, concat, subagent orchestration, or parallel scene batches
• Motion transfer from a template video → p-video-animate
• Talking-head-only / lip-sync host without native scene audio → p-video-avatar
• Best-quality clip or tight in-scene lip-sync → p-video-2

If the request exceeds one clip, stop and recommend: image-to-video (one narrated beat), visual-transition-reel (multi-scene visual), or narrated-multi-scene (multi-scene + VO).

When NOT to use

Use a different skill instead:

HTTP (curl)

Upload for image-to-video / frame anchors

curl -X POST "https://api.pruna.ai/v1/files" \
  -H "apikey: ${PRUNA_API_KEY}" \
  -F "content=@/path/to/first-frame.png"

Pass urls.get as input.image (first frame) and/or input.last_frame_image (last frame). Upload TTS/music the same way for input.audio.

Create (async text-to-video — recommended)

curl -X POST 'https://api.pruna.ai/v1/predictions' \
  -H 'Content-Type: application/json' \
  -H "apikey: ${PRUNA_API_KEY}" \
  -H 'Model: p-video' \
  -d '{
    "input": {
      "prompt": "Slow dolly in on rain-slick street at night, neon reflections, distant traffic hiss",
      "duration": 5,
      "resolution": "720p",
      "aspect_ratio": "16:9"
    }
  }'

Poll and download: follow pruna-api.

Complete the random seed ritual from generation-diversity before writing prompts — do not pass the ritual string as API seed.

First / last frame (visual transition)

curl -X POST 'https://api.pruna.ai/v1/predictions' \
  -H 'Content-Type: application/json' \
  -H "apikey: ${PRUNA_API_KEY}" \
  -H 'Model: p-video' \
  -d '{
    "input": {
      "prompt": "OPEN: hold wide on wet alley, neon flicker. MID: slow dolly in, rain ticks on pavement. CLOSE: settle on end pose.",
      "image": "https://api.pruna.ai/v1/files/START_ID",
      "last_frame_image": "https://api.pruna.ai/v1/files/END_ID",
      "duration": 5,
      "resolution": "720p",
      "fps": 24
    }
  }'

Scene anchor triple (image + last_frame_image + audio)

curl -X POST 'https://api.pruna.ai/v1/predictions' \
  -H 'Content-Type: application/json' \
  -H "apikey: ${PRUNA_API_KEY}" \
  -H 'Model: p-video' \
  -d '{
    "input": {
      "prompt": "Dog tosses plush upward, tail wagging, motion matches narrator, warm light",
      "image": "https://api.pruna.ai/v1/files/SCENE_START",
      "last_frame_image": "https://api.pruna.ai/v1/files/SCENE_END",
      "audio": "https://api.pruna.ai/v1/files/SCENE_NARRATION",
      "resolution": "720p",
      "fps": 24,
      "save_audio": true
    }
  }'

Omit duration when audio is set. Clip length = min(audio length, 20s) — keep TTS ≤ ~19s (ffprobe before render).

Before generating

1. Complete Prerequisites guide reading order (generation-diversity → video-prompting).
2. Ritual seed → draft a dynamic + faithful motion prompt (section above) → confirm mode (T2V / I2V / frame pair / audio), duration (unless audio-driven), resolution, fps, draft, and prompt with the user.
3. Pruna notes: when image is set, aspect_ratio is ignored. With audio, omit duration and set save_audio: true to keep narration. Prefer uploaded VO over post-mux. If the request is multi-scene — stop (see Skill boundary).

Required input

• prompt (string)

Common optional fields

Related

Related skills: