Inference Logoinference shell

P-Video-2-Pro-Avatar

Talking video from one portrait and uploaded audio or a script on MiniMax H3. Lip sync, 30 voices in 10 languages, 1s to 3 min, 480p to 4k.

talking avatarlip sync
run in browser →run via API
run with your agent
# install belt
$curl -fsSL https://cli.inference.sh | sh
# sign in (or set INFERENCE_API_KEY on a headless machine)
$belt login
# view schema & details
$belt app get pruna/p-video-2-pro-avatar
# run
$belt app run pruna/p-video-2-pro-avatar --input '{"image":"https://example.com/file.png"}'
maker
pruna
category
video
price
$0.02/sec 480p, $0.04/sec 768p, $0.06/sec 1080p, $0.08/sec 2k, $0.12/sec 4k
runs via
api, javascript and python sdk, belt cli, mcp
updated
2026-10-23

api reference

about

talking video from one portrait and uploaded audio or a script on minimax h3. lip sync, 30 voices in 10 languages, 1s to 3 min, 480p to 4k.

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
1import os2from inferencesh import inference34client = inference(api_key=os.environ["INFERENCE_API_KEY"])567result = client.run({8        "app": "pruna/p-video-2-pro-avatar",9        "input": {10            "image": "https://example.com/file.png"11        }12    })1314print(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
1import os2from inferencesh import inference34client = inference(api_key=os.environ["INFERENCE_API_KEY"])567# stream=True yields updates as they arrive8for update in client.run({9        "app": "pruna/p-video-2-pro-avatar",10        "input": {11            "image": "https://example.com/file.png"12        }13    }, stream=True):14    if update.get("progress"):15        print(f"progress: {update['progress']}%")16    if update.get("output"):17        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-2-pro-avatar",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-2-pro-avatar",3    "input": {4        "image": "https://example.com/file.png"5    },6    "webhook": "https://your-server.com/webhook"7}, wait=False)

webhook payload

your endpoint receives a JSON POST with the task result:

json
1{2  "event": "task.completed",3  "timestamp": "2024-01-15T10:30:05Z",4  "data": {5    "id": "task_abc123",6    "short_id": "abc123",7    "status": 10,8    "status_text": "completed",9    "output": { ... },10    "created_at": "2024-01-15T10:30:00Z",11    "updated_at": "2024-01-15T10:30:05Z"12  }13}
eventstringtask.completed, task.failed or task.cancelled
timestampstringiso timestamp of the delivery
data.idstringtask id
data.short_idstringshort task id
data.statusnumberterminal status (10=completed, 11=failed, 12=cancelled, 13=rejected)
data.status_textstringthe status as a word: completed, failed or cancelled
data.outputobjecttask output (when completed)
data.errorstringerror message (when failed, omitted otherwise)
data.session_idstringsession id (when the task ran in a session, omitted otherwise)
data.created_atstringiso timestamp
data.updated_atstringiso timestamp

5. schema

input

imagestring(file)*

portrait of the person who speaks (jpg, png, webp; up to 20 mib). sets the aspect ratio.

audiostring(file)

speech audio, 1s to 3 min (64 mib). the video matches its length. overrides voice_script.

voice_scriptstring

exact words to speak with text-to-speech when no audio is uploaded.

voicestring

tts voice for voice_script.

default: "Zephyr (Female)"
options:"Zephyr (Female)""Puck (Male)""Charon (Male)""Kore (Female)""Fenrir (Male)""Leda (Female)""Orus (Male)""Aoede (Female)""Callirrhoe (Female)""Autonoe (Female)""Enceladus (Male)""Iapetus (Male)""Umbriel (Male)""Algenib (Male)""Despina (Female)""Erinome (Female)""Laomedeia (Female)""Achernar (Female)""Algieba (Male)""Schedar (Male)""Gacrux (Female)""Pulcherrima (Female)""Achird (Male)""Zubenelgenubi (Male)""Vindemiatrix (Female)""Sadachbia (Male)""Sadaltager (Male)""Sulafat (Female)""Alnilam (Male)""Rasalgethi (Male)"
voice_languagestring

language of voice_script.

default: "English (US)"
options:"English (US)""English (UK)""Spanish""French""German""Italian""Portuguese (Brazil)""Japanese""Korean""Hindi"
voice_promptstring

delivery instructions for the voice (tone, pacing, accent, emotion). not spoken.

promptstring

what the video should show (default: 'the person is talking.').

prompt_upsamplingboolean

append the scene's own motion from the portrait to the prompt. your words stay first.

default: true
resolutionstring

480p or 768p native. 1080p, 2k and 4k generate at 768p and upscale; 4k up to 125s.

default: "768p"
options:"480p""768p""1080p""2k""4k"
seedinteger

random seed for reproducible generation.

enable_safety_filterboolean

block content in the toggleable moderation categories. always-on rules apply either way.

default: false

output

seedinteger

seed used for generation.

videostring(file)*

generated talking video.

other video apps

VACE

pruna/vace

$0.40/video

P-Video-Animate

pruna/p-video-animate

$0.03/sec 720p, $0.06/sec 1080p

P-Video-Upscale

pruna/p-video-upscale

Std: $0.01/sec 720p, $0.02 1080p, $0.04 2k, $0.08 4k; high fps 2x

P-Video-2-Pro-Reference

pruna/p-video-2-pro-reference

Output: cost $0.015-$0.105/sec, speed $0.02-$0.115/sec. Ref video: $0.03-$0.06/sec. Ref img: $0.005/img. Ref audio: $0.0015-$0.0025/sec

P-Video-2-Pro

pruna/p-video-2-pro

$0.01-$0.155/sec; cost: $0.01-$0.105, speed: $0.02-$0.115, quality: $0.04-$0.155 (480p-4k)

more from pruna

VACE

pruna/vace

$0.40/video

P-Video-Animate

pruna/p-video-animate

$0.03/sec 720p, $0.06/sec 1080p

P-Video-Upscale

pruna/p-video-upscale

Std: $0.01/sec 720p, $0.02 1080p, $0.04 2k, $0.08 4k; high fps 2x

P-Video-2-Pro-Reference

pruna/p-video-2-pro-reference

Output: cost $0.015-$0.105/sec, speed $0.02-$0.115/sec. Ref video: $0.03-$0.06/sec. Ref img: $0.005/img. Ref audio: $0.0015-$0.0025/sec

new models

  1. VACE

    pruna/vace

    video$0.40/video

  2. P-Video-Animate

    pruna/p-video-animate

    video$0.03/sec 720p, $0.06/sec 1080p

  3. P-Video-Upscale

    pruna/p-video-upscale

    videoStd: $0.01/sec 720p, $0.02 1080p, $0.04 2k, $0.08 4k; high fps 2x

  4. P-Video-2-Pro-Reference

    pruna/p-video-2-pro-reference

    videoOutput: cost $0.015-$0.105/sec, speed $0.02-$0.115/sec. Ref video: $0.03-$0.06/sec. Ref img: $0.005/img. Ref audio: $0.0015-$0.0025/sec

  5. P-Video-2-Pro

    pruna/p-video-2-pro

    video$0.01-$0.155/sec; cost: $0.01-$0.105, speed: $0.02-$0.115, quality: $0.04-$0.155 (480p-4k)

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