# P-Video-2-Pro

> Run P-Video-2-Pro by pruna online or via API. $0.01-$0.155/sec; cost: $0.01-$0.105, speed: $0.02-$0.115, quality: $0.04-$0.155 (480p-4k), no setup.

**URL:** https://inference.sh/apps/pruna/p-video-2-pro
**Last updated:** 2026-10-23

---

Text-to-video and first/last-frame image-to-video on MiniMax H3, 5-15s with generated audio, 480p to 4k, in cost, speed or quality mode.

- app: `pruna/p-video-2-pro`
- maker: [pruna](https://inference.sh/apps/pruna.md)
- category: [video](https://inference.sh/apps/category/video.md)
- input → output: text → video, image → video
- tasks: [text to video](https://inference.sh/apps/tag/text-to-video.md), [image to video](https://inference.sh/apps/tag/image-to-video.md)
- price: $0.01-$0.155/sec; cost: $0.01-$0.105, speed: $0.02-$0.115, quality: $0.04-$0.155 (480p-4k)
- runs via: api, javascript and python sdk, belt cli, mcp

## p-video-2-pro API Guide

### About
text-to-video and first/last-frame image-to-video on minimax h3, 5-15s with generated audio, 480p to 4k, in cost, speed or quality mode.

### 1. Calling the API

#### Install the Client

```bash
pip install inferencesh
```

#### Setup Your API Key
Set `INFERENCE_API_KEY` as an environment variable. Get your key from settings → api keys.

```bash
export INFERENCE_API_KEY="inf_your_key"
```

#### Run and Get Result

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])


result = client.run({
        "app": "pruna/p-video-2-pro@2hgcrr7e",
        "input": {
            "prompt": "prompt"
        }
    })

print(result["output"])
```

#### Stream Live Updates

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])


## stream=True yields updates as they arrive
for update in client.run({
        "app": "pruna/p-video-2-pro@2hgcrr7e",
        "input": {
            "prompt": "prompt"
        }
    }, stream=True):
    if update.get("progress"):
        print(f"progress: {update['progress']}%")
    if update.get("output"):
        print(f"output: {update['output']}")
```

### 2. Authentication
The API uses API keys for authentication. See the authentication docs for detailed setup instructions.

### 3. Files

#### Automatic Upload

```python
## local file paths are automatically uploaded
result = client.run({
    "app": "pruna/p-video-2-pro@2hgcrr7e",
    "input": {
        "image": "/path/to/local/image.png",  # detected & uploaded
        "audio": "https://example.com/audio.mp3",  # url passed through
    }
})
```

#### Manual Upload

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

### 4. Schema

#### Input
- **prompt** (string) *required*: Text description for video generation.
- **image** (string): First-frame image for image-to-video.
- **last_frame_image** (string): Last-frame image.
- **duration** (integer): Video duration in seconds (5-15).
- **resolution** (string): 480p or 768p native. 1080p, 2k and 4k generate at 768p and upscale.
- **mode** (string): Generation recipe. cost is cheapest and slowest, speed is the default, quality costs most.
- **prompt_upsampler** (string): Expand the prompt before generation: off, turbo or max. Does not change the price.
- **aspect_ratio** (string): Aspect ratio. Frame images set the canvas when provided.
- **seed** (integer): Random seed for reproducible generation.
- **enable_safety_filter** (boolean): Check inputs against the content policy. Always-on categories are blocked either way.

#### Output
- **seed** (integer): Seed used for generation.
- **video** (string): Generated video with audio.

## other video apps

- [VACE](https://inference.sh/apps/pruna/vace.md): $0.40/video
- [P-Video-Animate](https://inference.sh/apps/pruna/p-video-animate.md): $0.03/sec 720p, $0.06/sec 1080p
- [P-Video-Upscale](https://inference.sh/apps/pruna/p-video-upscale.md): Std: $0.01/sec 720p, $0.02 1080p, $0.04 2k, $0.08 4k; high fps 2x
- [P-Video-2-Pro-Avatar](https://inference.sh/apps/pruna/p-video-2-pro-avatar.md): $0.02/sec 480p, $0.04/sec 768p, $0.06/sec 1080p, $0.08/sec 2k, $0.12/sec 4k
- [P-Video-2-Pro-Reference](https://inference.sh/apps/pruna/p-video-2-pro-reference.md): 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

## faq

### how much does P-Video-2-Pro cost?

$0.01-$0.155/sec; cost: $0.01-$0.105, speed: $0.02-$0.115, quality: $0.04-$0.155 (480p-4k). you pay per run from your inference shell credits. no subscription is required.

### how do I run P-Video-2-Pro via api?

call pruna/p-video-2-pro with the javascript or python sdk, the rest api, or `belt app run pruna/p-video-2-pro` from a terminal. the api reference on this page lists every input.

### who makes P-Video-2-Pro?

P-Video-2-Pro is made by pruna and runs on inference shell. every pruna app is listed at https://inference.sh/apps/pruna.

### can my agent use P-Video-2-Pro?

yes. agents call it as a tool through the inference shell mcp server (https://api.inference.sh/mcp), the belt cli or the sdk, and pay per run like you do.

### what are the alternatives to P-Video-2-Pro?

other video apps on inference shell include VACE, P-Video-Animate, P-Video-Upscale, P-Video-2-Pro-Avatar. they run through the same api, so switching is a one-line change.