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Gemini Omni Flash Text to Video API

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Gemini Omni Flash Text to Video creates short AI videos with synchronized audio from text prompts, combining visual generation and audio output for fast multimodal video creation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-video
Input

Idle

$0.13per run·~76 / $10

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ExamplesView all

A fluffy black cat dressed as a tiny wizard tries to cast a spell in an old library. The spell goes wrong and turns floating books into glowing fish swimming through the air. The cat looks shocked, then proudly pretends it meant to do that. Magical comedy, warm fantasy lighting, cinematic.

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README

Gemini Omni Flash Text-to-Video

Gemini Omni Flash Text-to-Video creates short videos with synchronized audio from a text prompt. Describe the scene, motion, pacing, and audio direction, then generate a landscape or portrait video from 3 to 10 seconds.

Why Choose This?

  • Text-to-video generation
    Generate short videos directly from natural-language prompts.

  • Synchronized audio
    Create video with audio generated alongside the visual output.

  • Simple aspect ratio control
    Choose between 16:9 for landscape videos and 9:16 for portrait videos.

  • Short-form video output
    Generate clips from 3 to 10 seconds for quick creative iteration.

  • Standard video output
    Generated videos are returned as URLs in the standard WaveSpeed prediction response.

Parameters

ParameterRequiredDescription
promptYesText prompt describing the video to generate, including scene, motion, pacing, and audio direction.
aspect_ratioNoOutput aspect ratio: 16:9 or 9:16. Default: 16:9.
durationNoOutput duration in seconds. Range: 3 to 10. Default: 8.

How to Use

  1. Write your prompt — Describe the scene, subject, motion, camera behavior, pacing, and audio direction.
  2. Choose aspect ratio — Use 16:9 for landscape video or 9:16 for portrait video.
  3. Set duration — Choose a duration from 3 to 10 seconds.
  4. Submit — Generate the final video with synchronized audio.

Pricing

Pricing is $0.13 per second of generated video.

DurationPrice
3s$0.39
5s$0.65
8s$1.04
10s$1.30

Best Use Cases

  • Short video generation — Create brief video clips directly from text prompts.
  • Audio-video scenes — Generate videos where sound direction matters alongside the visual scene.
  • Social media content — Produce portrait or landscape clips for short-form publishing.
  • Creative prototyping — Quickly test video ideas, scene concepts, and audio-visual directions.
  • Cinematic prompt testing — Explore camera movement, pacing, mood, and atmosphere from text.

Pro Tips

  • Use descriptive prompts that include scene, subject, action, camera movement, pacing, and audio direction.
  • Include negative instructions directly in the prompt when needed.
  • Use 16:9 for landscape scenes and 9:16 for vertical mobile content.
  • Use shorter durations for quick testing and longer durations when the scene needs more time to develop.
Note:This website uses AI models provided by third parties.

Gemini Omni Flash Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/gemini-omni-flash/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 Gemini Omni Flash 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",
    "aspect_ratio": "16:9",
    "duration": 8
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/google/gemini-omni-flash/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/google/gemini-omni-flash/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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "16:9",
        "duration": 8
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "aspect_ratio": "16:9",
    "duration": 8
}

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/google/gemini-omni-flash/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)

Gemini Omni Flash Text To Video API — Frequently asked questions

What is the Gemini Omni Flash Text To Video API?

Gemini Omni Flash Text To Video is a Google model for video generation, exposed as a REST API on WaveSpeedAI. Gemini Omni Flash Text to Video creates short AI videos with synchronized audio from text prompts, combining visual generation and audio output for fast multimodal video creation. 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 Gemini Omni Flash 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/google/google-gemini-omni-flash-text-to-video.

How much does Gemini Omni Flash Text To Video cost per run?

Gemini Omni Flash Text To Video starts at $0.13 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 Gemini Omni Flash Text To Video accept?

Key inputs: `prompt`, `aspect_ratio`, `duration`. 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/google/google-gemini-omni-flash-text-to-video.

How long does Gemini Omni Flash Text To Video take to generate?

Median end-to-end generation time on WaveSpeedAI is around 43 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 Gemini Omni Flash Text To Video outputs commercially?

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

Gemini Omni Flash Text to Video API | WaveSpeedAI