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Sora 2 Pro Text to Video

openai /

OpenAI Sora 2 Pro is a state-of-the-art text-to-video model with realistic physics, synchronized audio, and strong steerability. Supports multiple resolutions up to 1080p and durations up to 20 seconds. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-video
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Interrogation room, single overhead bulb. A detective slaps a folder on the table and says, "We already know you were there." The suspect looks up slowly, smirks, and replies, "Then why are you still asking?" Tight cross-cutting between faces, high contrast, Fincher-esque.

Two old friends sit across from each other at a small café table, warm afternoon light through dusty windows. One leans forward and says, "I never told you, but that day changed everything for me." The other goes quiet, looks down at their cup, then slowly nods. Handheld camera, intimate framing, film grain.

A couple stands under a streetlight in the rain. She turns away, arms crossed. He reaches out and says, "Just tell me what you want me to say." She spins around, eyes wet — not just from rain — and says, "I want you to mean it." Silence. Medium shot, cold blue tones, slow zoom in.

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README

Sora 2 Pro Text-to-Video

Notice — Service Stability

The Sora 2 family is currently unstable. Generations may fall back to alternative models without notice and the service can be temporarily unavailable. OpenAI is also expected to discontinue this model in the future.

If you need an equally capable, stable alternative, we recommend Seedance 2: bytedance/seedance-2.0/text-to-video.

OpenAI Sora 2 Pro Text-to-Video

Sora 2 Pro is OpenAI's premium video and audio generator. It advances prior video models with more accurate physics, sharper realism, synchronized audio, stronger steerability, and a wider stylistic range — built on the original Sora foundation.

Now with character consistency — create reusable character IDs and feature them across multiple videos with the same identity.

Why It Looks Great

  • Physics-aware motion: learns contact, inertia, and momentum so objects move and collide believably.
  • Temporal consistency: stable identities, minimal flicker/ghosting, and clean frame-to-frame transitions.
  • Synchronized audio: lip-sync alignment, beat-aware cuts, and ambience that matches on-screen action.
  • High-frequency detail: preserves fine textures (skin, fabric, foliage) without plastic over-sharpening.
  • Complex scene reasoning: handles multiple subjects, occlusions, depth, and long camera moves coherently.
  • Cinematic camera literacy: natural pans, push-ins, and handheld vibes without warping or jelly-artifacts.
  • Wide stylistic range: from photoreal and documentary to anime, 3D, and illustrative aesthetics.
  • Strong steerability: responds predictably to prompt edits and control settings (duration, fps, motion strength).

Parameters

ParameterRequiredDescription
promptYesDescribe scene, style, camera, and audio cues
sizeNoOutput resolution (see options below)
durationNoVideo length: 4, 8, 12, 16, or 20 seconds
charactersNoList of character IDs for consistent identity

Size Options

  • 720×1280 / 1280×720 (720p)
  • 1024×1792 / 1792×1024 (1024p)
  • 1080×1920 / 1920×1080 (1080p)

How to Use

  1. Write your prompt — describe scene, style, camera movement, and audio cues.
  2. Select size — choose resolution and orientation.
  3. Set duration — select 4, 8, 12, 16, or 20 seconds.
  4. Add characters (optional) — paste character IDs to include for consistent characters.
  5. Submit — generate, preview, and download when ready.

Pricing

Duration720p1024p1080p
4 s$1.20$2.00$2.80
8 s$2.40$4.00$5.60
12 s$3.60$6.00$8.40
16 s$4.80$8.00$11.20
20 s$6.00$10.00$14.00

Billing Rules

  • 720p rate: $0.30 per second
  • 1024p rate: $0.50 per second
  • 1080p rate: $0.70 per second
  • Duration options: 4, 8, 12, 16, or 20 seconds

Notes

Related Models

Lưu ý:Trang web này sử dụng các mô hình AI do bên thứ ba cung cấp.

Sora 2 Pro Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/openai/sora-2-pro/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Sora 2 Pro Text To Video below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "1280*720",
    "duration": 4
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/openai/sora-2-pro/text-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/openai/sora-2-pro/text-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "size": "1280*720",
        "duration": 4
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "1280*720",
    "duration": 4
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/openai/sora-2-pro/text-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Sora 2 Pro Text To Video API — Frequently asked questions

What is the Sora 2 Pro Text To Video API?

Sora 2 Pro Text To Video is a OpenAI model for video generation, exposed as a REST API on WaveSpeedAI. OpenAI Sora 2 Pro is a state-of-the-art text-to-video model with realistic physics, synchronized audio, and strong steerability. Supports multiple resolutions up to 1080p and durations up to 20 seconds. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Sora 2 Pro Text To Video API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/openai/openai-sora-2-pro-text-to-video.

How much does Sora 2 Pro Text To Video cost per run?

Sora 2 Pro Text To Video starts at $1.20 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Sora 2 Pro Text To Video accept?

Key inputs: `prompt`, `duration`, `size`, `characters`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/openai/openai-sora-2-pro-text-to-video.

How long does Sora 2 Pro Text To Video take to generate?

Median end-to-end generation time on WaveSpeedAI is around 291 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Sora 2 Pro Text To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (OpenAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Sora 2 Pro Text to Video | Powerful Text-to-Video API | WaveSpeedAI