P Video Animate

Prerequisites

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

| Skill | Description | Install | | --- | --- | --- | | generation-diversity | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | npx skills add PrunaAI/pruna-skills@generation-diversity -y | | video-prompting | Use when crafting video or motion prompts for any generative model — dramaturgy, camera, physics-safe motion, frame anchors, and clip chaining. | npx skills add PrunaAI/pruna-skills@video-prompting -y | | pruna-api | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | npx skills add PrunaAI/pruna-skills@pruna-api -y |

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

In the first reply, name ` p-video-animate in backticks, confirm PRUNAAPIKEY (or stop with signup links from pruna-api), then ask for required inputs. When drafting optional **instruction_prompt`, follow Prompt craft (dynamic + faithful) — do not paste skill examples. Redirect when When NOT to use** fits better.

Prompt craft (dynamic + faithful)

Appearance comes from image; motion from video. Optional instruction_prompt is surgical — one concrete end beat or pose fix, not a new scene.

| Do | Don't | | --- | --- | | Ritual seed before drafting; leave instruction_prompt blank when refs already align | Copy this skill's generic sample (Animate the reference subject using the motion from the source video) when the user named a specific beat | | Lock the user's subject (from image) and motion source (from video); match framing/pose to the template's first frame | Invent a different performance or swap the subject | | When needed, one concrete instruction_prompt beat (hold landing pose on final frame, match arm raise at 0:03) | Mood-only rewrites or vague make it dance better | | Show instruction_prompt (if any) before POST when not locked | Silent regen that changes identity or ignores the template motion |

Fidelity check (before pay): still the user's still + template video. Repose with p-image-edit when close but not exact — do not compensate with a vague prompt.

Skill boundary

| | p-video-animate (this skill) | p-video-replace | |---|----------------------------------|---------------------| | User question | Animate this picture with some motion? | Replace this person in this video? | | Inputs | One image + motion-template video | Source video + images (1–4) | | Job | Still performs using copied motion | People/props in footage swapped for refs |

Use p-video-replace for in-place identity swap. Use this skill for motion-transfer showcases and persona variants.

When NOT to use

Use a different skill instead:

| Skill | Description | Install | | --- | --- | --- | | p-image-edit | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | npx skills add PrunaAI/pruna-skills@p-image-edit -y | | p-video-replace | Use when someone wants to swap a person, outfit, or product inside existing footage while keeping the camera move and audio. | npx skills add PrunaAI/pruna-skills@p-video-replace -y | | p-video-avatar | Use when someone wants a person on camera speaking a script — lip-synced host, spokesperson, or narrated avatar from a portrait photo. | npx skills add PrunaAI/pruna-skills@p-video-avatar -y |

HTTP (curl)

Upload source assets

curl -X POST "https://api.pruna.ai/v1/files" \
  -H "apikey: ${PRUNA_API_KEY}" \
  -F "content=@/path/to/source-video.mp4"

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

Use each response urls.get in input.video and input.image.

Create (async — recommended)

curl -X POST 'https://api.pruna.ai/v1/predictions' \
  -H 'Content-Type: application/json' \
  -H "apikey: ${PRUNA_API_KEY}" \
  -H 'Model: p-video-animate' \
  -d '{
    "input": {
      "video": "https://api.pruna.ai/v1/files/source-video-abc123",
      "image": "https://api.pruna.ai/v1/files/reference-image-def456",
      "resolution": "720p",
      "target_fps": "original",
      "instruction_prompt": "Animate the reference subject using the motion from the source video."
    }
  }'

Poll and download: follow pruna-api. Output duration follows the source video.

Complete the random seed ritual from generation-diversity before writing prompts.

Create (sync — quick test only)

curl -X POST 'https://api.pruna.ai/v1/predictions' \
  -H 'Content-Type: application/json' \
  -H "apikey: ${PRUNA_API_KEY}" \
  -H 'Model: p-video-animate' \
  -H 'Try-Sync: true' \
  -d '{
    "input": {
      "video": "https://api.pruna.ai/v1/files/source-video-abc123",
      "image": "https://api.pruna.ai/v1/files/reference-image-def456"
    }
  }'

Before generating

1. Complete Prerequisites guide reading order (generation-diversity → video-prompting).
2. Ritual seed → draft optional dynamic + faithful instruction_prompt (section above) → confirm video (motion/audio source), image (subject), resolution, target_fps, and instruction_prompt.
3. Pruna notes: appearance from image, motion from video. Match framing/pose/limb visibility to the template’s first frame; repose with p-image-edit when close but not exact. Leave instruction_prompt blank unless you need one concrete end beat. Runware map: referenceImages[0] → image, referenceVideos[0] → video, positivePrompt → instruction_prompt, settings.preserveAudio → save_audio.

Required input

• video (string URL): source RGB .mp4
• image (string URL): reference subject to animate

Common optional fields

• resolution: 720p (default) or 1080p
• target_fps: original (default), 24, or 48
• instruction_prompt (string)
• save_audio (boolean, default true)
• seed, disable_safety_checker

Typical next steps

Common follow-ons after this skill:

| Skill | Description | Install | | --- | --- | --- | | p-image | Use when someone wants a fast AI image — product shots, hero visuals, mood boards, or draft photos from a text prompt. | npx skills add PrunaAI/pruna-skills@p-image -y | | p-image-edit | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | npx skills add PrunaAI/pruna-skills@p-image-edit -y | | p-video-replace | Use when someone wants to swap a person, outfit, or product inside existing footage while keeping the camera move and audio. | npx skills add PrunaAI/pruna-skills@p-video-replace -y | | avatar-multi-scene | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y | | video-editing | Use when assembling or polishing already-rendered clips with ffmpeg — concat, crossfades, burned captions and subtitles, text/logo overlays, before/after sliders, background music beds, platform export — or when composing a multi-layer HTML combination video with Hyperframes. Not for AI video generation, prompt craft, or model-based video edits. | npx skills add PrunaAI/pruna-skills@video-editing -y |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: PrunaAI
• Source: PrunaAI/pruna-skills
• License: Apache-2.0
• Homepage: https://dashboard.pruna.ai

Install and usage instructions live in the source repository linked above.