apps/pruna/p-video-replace

p-video-replace

Replace characters in videos using reference images. Preserves motion, timing, camera, and scene.

run in browser run via API

run with your agent

# install belt

$curl -fsSL https://cli.inference.sh | sh

# view schema & details

$belt app get pruna/p-video-replace

# run

$belt app run pruna/p-video-replace

api reference

about

replace characters in videos using reference images. preserves motion, timing, camera, and scene.

1. calling the api

install the client

the client provides a convenient way to interact with the api.

bash

1pip install inferencesh

setup your api key

set INFERENCE_API_KEY as an environment variable. get your key from settings → api keys.

bash

1export INFERENCE_API_KEY="inf_your_key"

run and get result

submit a request and wait for the final result. best for batch processing or when you don't need progress updates.

python

1from inferencesh import inference23client = inference()456result = client.run({7        "app": "pruna/p-video-replace",8        "input": {}9    })1011print(result["output"])

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks.

python

1from inferencesh import inference23client = inference()456# stream=True yields updates as they arrive7for update in client.run({8        "app": "pruna/p-video-replace",9        "input": {}10    }, stream=True):11    if update.get("progress"):12        print(f"progress: {update['progress']}%")13    if update.get("output"):14        print(f"output: {update['output']}")

2. authentication

the api uses api keys for authentication. see the authentication docs for detailed setup instructions.

3. files

file inputs are automatically handled by the sdk. you can pass local paths, urls, or base64 data.

automatic upload

the python sdk automatically detects local file paths and uploads them. urls are passed through as-is.

python

1# local file paths are automatically uploaded2result = client.run({3    "app": "pruna/p-video-replace",4    "input": {5        "image": "/path/to/local/image.png",  # detected & uploaded6        "audio": "https://example.com/audio.mp3",  # url passed through7    }8})

manual upload

you can also upload files manually and use the returned url.

python

1# upload and get a hosted URL2file = client.files.upload("/path/to/file.png")3print(file.uri)  # https://cloud.inference.sh/...

4. webhooks

get notified when a task completes by providing a webhook url. when the task reaches a terminal state (completed, failed, or cancelled), a POST request is sent to your url with the task result.

python

1result = client.run({2    "app": "pruna/p-video-replace",3    "input": {},4    "webhook": "https://your-server.com/webhook"5}, wait=False)

webhook payload

your endpoint receives a JSON POST with the task result:

json

1{2  "id": "task_abc123",3  "status": 9,4  "output": { ... },5  "error": "",6  "session_id": null,7  "created_at": "2024-01-15T10:30:00Z",8  "updated_at": "2024-01-15T10:30:05Z"9}

idstring— task id

statusnumber— terminal status (9=completed, 10=failed, 11=cancelled)

outputobject— task output (when completed)

errorstring— error message (when failed)

session_idstring— session id (if using sessions)

created_atstring— iso timestamp

updated_atstring— iso timestamp

5. schema

input

videostring(file)*

source video (.mp4). motion, timing, camera, and scene come from this.

imagesarray*

reference image(s) of people to place into the video (1-4 images).

instruction_promptstring

describe who in the video to replace with whom from reference images. e.g. 'replace the person in the source video with the woman from reference image 1. keep lip sync, motion, audio, and camera from the source video.'

resolutionstring

output resolution: 720p ($0.03/s) or 1080p ($0.06/s).

default: "720p"

options:"720p""1080p"

turboboolean

turbo mode: faster generation for slightly lower quality.

default: false

target_fpsstring

target fps: 'original' to match source, or '24'/'48'.

default: "original"

options:"original""24""48"

save_audioboolean

include audio from the source video in the output.

default: true

ignore_audioboolean

ignore source audio during generation. if save_audio is true, audio is still saved.

default: false

seedinteger

random seed for reproducible generation.

disable_safety_checkerboolean

disable safety checker for generated videos.

default: false

output

seedinteger

seed used for generation.

videostring(file)*

generated video with replaced characters.

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