All models / Video / p-video-2-pro / WaveSpeedAI

p-video-2-pro

Name: p-video-2-pro
Brand: WaveSpeedAI
Price: 0.0200 USD
Availability: InStock

model id: prunaai/p-video-2-pro/wavespeedai

Text in → Video out

Playground

Prompt

Resolution

Aspect Ratio

Duration (seconds)

Output

Nothing generated yet

Price

From $0.02 / second

per second of generated video — price depends on requested size/resolution

Text-to-video

Resolution (via `size`)	Price
480p	$0.02 / second
768p	$0.035 / second

Image-to-video

Same rate as text-to-video above — attaching a starting image never changes the price.

Reference-to-video

Reference-to-video bills its own rate below — whether you attach reference images, a reference video, or both:

480p	$0.02 / second
768p	$0.035 / second

Attach a reference video (not just images) and this model bills a lower combined rate instead, covering your reference video's own seconds plus your output's seconds together:

480p · with input video	$0.04 / second
768p · with input video	$0.06 / second

Formula: rate × (your reference video's seconds + your output's seconds).

+ $0.01 per reference image beyond the first 0 (free).

+ VideoRouter platform fee: 2.5% of provider cost (≈ $0.0005) — billed as its own line, never blended into the price above.

# create
import requests

resp = requests.post(
    "https://videorouter.sh/api/v1/videos",
    headers={"Authorization": "Bearer llmr_sk_...", "Content-Type": "application/json"},
    json={"model": "prunaai/p-video-2-pro/wavespeedai", "prompt": "A drone shot flying over snowy mountains", "duration_secs": 5},
)
job = resp.json()

# poll
status = requests.get(
    f"https://videorouter.sh/api/v1/videos/{job['id']}",
    headers={"Authorization": "Bearer llmr_sk_..."},
).json()
print(status["status"])  # pending -> in_progress -> completed

// create
const res = await fetch("https://videorouter.sh/api/v1/videos", {
  method: "POST",
  headers: {
    Authorization: "Bearer llmr_sk_...",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "prunaai/p-video-2-pro/wavespeedai",
    prompt: "A drone shot flying over snowy mountains",
    duration_secs: 5,
  }),
});
const job = await res.json();

// poll
const statusRes = await fetch(`https://videorouter.sh/api/v1/videos/${job.id}`, {
  headers: { Authorization: "Bearer llmr_sk_..." },
});
const status = await statusRes.json();
console.log(status.status);  // pending -> in_progress -> completed

# create
curl https://videorouter.sh/api/v1/videos \
  -H "Authorization: Bearer llmr_sk_..." \
  -H "Content-Type: application/json" \
  -d '{"model": "prunaai/p-video-2-pro/wavespeedai", "prompt": "A drone shot flying over snowy mountains", "duration_secs": 5}'

# poll (repeat until status is "completed" or "failed")
curl https://videorouter.sh/api/v1/videos/video_... \
  -H "Authorization: Bearer llmr_sk_..."

p-video-2-pro

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