Use when someone wants to edit an existing video with a text instruction — recolor, restyle, remove or add objects, change environment or lighting, update on-screen text, or apply optional reference-guided product and accessory edits. Not for a new clip from scratch or ffmpeg assembly.
Design & media
p-video-replace
Try itUse when someone wants to swap a person, outfit, or product inside existing footage while keeping the camera move and audio.
What it does
Use when someone wants to swap a person, outfit, or product inside existing footage while keeping the camera move and audio.
The skill document
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-replace` 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. Draft swaps with Prompt craft (dynamic + faithful) — do not paste skill examples. Redirect when When NOT to use fits better.
Prompt craft (dynamic + faithful)
instruction_prompt maps source slots → reference images → preserve-list. Change only what the user asked; keep camera, audio, and unmentioned elements identical.
| Do | Don't |
|---|---|
Formula: name source element → map each ref (first reference, image 2) → preserve-list (walking pace, camera tracking, audio) | Vague replace the person with no slot mapping |
| Ritual seed before drafting; fresh wording for preserve clauses when the brief allows | Copy this skill's sample (olive coat, navy jacket) when the user described different targets |
| Lock swap intent (character / clothing-only / object / mixed) from the user | Drop preserve-list and hope motion/audio hold |
Show instruction_prompt before POST when wording is not locked | Silent swap that changes background, cast, or unrequested regions |
Fidelity check (before pay): every stated swap and every stated keep must appear in instruction_prompt. Do not “spice” extras when they asked for one identity swap.
Skill boundary
| p-video-replace | p-video-animate | |
|---|---|---|
| User question | Replace this person in this video? | Animate this picture with some motion? |
| Goal | Swap identity into existing footage | Drive a still with motion from another clip |
| Source video | The final scene | A motion template only |
| Reference images | images — 1 to 4 in one call | image — one subject per call |
Use p-video-animate when the user has a still and wants it to perform from a separate template video.
When NOT to use
Use a different skill instead:
| Skill | Description | Install |
|---|---|---|
p-video-animate | Use when someone wants a photo to move like another video — motion transfer, dance remixes, or performance variations from a template clip. | npx skills add PrunaAI/pruna-skills@p-video-animate -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-person-a.png"
curl -X POST "https://api.pruna.ai/v1/files" \
-H "apikey: ${PRUNA_API_KEY}" \
-F "content=@/path/to/reference-person-b.png"
Use each response urls.get in input.video and input.images.
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-replace' \
-d '{
"input": {
"video": "https://api.pruna.ai/v1/files/source-video-abc123",
"images": [
"https://api.pruna.ai/v1/files/reference-person-a-def456",
"https://api.pruna.ai/v1/files/reference-person-b-ghi789"
],
"resolution": "720p",
"target_fps": "original",
"instruction_prompt": "Replace the woman on the left (olive coat) with the first reference. Replace the man on the right (navy jacket) with the second reference. Preserve walking pace, camera tracking, and audio."
}
}'
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-replace' \
-H 'Try-Sync: true' \
-d '{
"input": {
"video": "https://api.pruna.ai/v1/files/source-video-abc123",
"images": [
"https://api.pruna.ai/v1/files/reference-image-def456"
]
}
}'
Before generating
- Complete Prerequisites guide reading order (
generation-diversity→video-prompting). - Ritual seed → draft a dynamic + faithful
instruction_prompt(section above) → confirmvideo,images(1–4),resolution,target_fps,instruction_prompt, and swap intent (character / clothing-only / object / mixed). - Pruna notes: identity comes from
images; slot mapping frominstruction_prompt(name source element → map each ref → preserve-list → “only X changes”). Vague targets and tiny on-screen objects drop quality. Runware map:inputs.video→video,referenceImages→images,positivePrompt→instruction_prompt.
Required input
video(string URL): source RGB.mp4images(array of 1–4 string URLs): identity reference(s)
Common optional fields
resolution:720p(default) or1080ptarget_fps:original(default),24, or48instruction_prompt(string)save_audio(boolean, defaulttrue)seed,disable_safety_checker
Typical next steps
Common follow-ons after this skill:
| Skill | Description | Install |
|---|---|---|
p-video-animate | Use when someone wants a photo to move like another video — motion transfer, dance remixes, or performance variations from a template clip. | npx skills add PrunaAI/pruna-skills@p-video-animate -y |
p-image | Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed. | 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 |
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 |
Related skills
Use when someone wants a person on camera speaking a script — lip-synced host, spokesperson, or narrated avatar from a portrait photo.
Use when someone wants a photo to move like another video — motion transfer, dance remixes, or performance variations from a template clip.
Use when someone wants one short video clip from text or images — B-roll, start/end frame animation, or a quick motion shot. Not for full multi-scene films or lip-synced hosts.
Use when crafting video or motion prompts for any generative model — dramaturgy, camera, physics-safe motion, frame anchors, and clip chaining.
Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits.