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Gemini Omni Flash Video Edit API

google /

Gemini Omni Flash Video Edit applies natural-language edit instructions to existing videos, enabling prompt-guided changes to scenes, style, motion, and visual details while preserving the original video context. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

video-to-video
Wejście

Bezczynny

$0.16za uruchomienie·~62 / $10

Dalej:

PrzykładyZobacz wszystkie

Change the source video into a futuristic AI product keynote scene. Preserve the presenter’s face, body position, speaking motion, outfit, and front-facing composition. Replace the plain studio with a premium high-tech stage, blue holographic interface panels, soft volumetric lighting, glass reflections, subtle digital particles, and a polished technology brand atmosphere. Keep the face clear and stable for digital human use.

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README

Gemini Omni Flash Video Edit

Gemini Omni Flash Video Edit edits an existing source video using a natural-language instruction while preserving scene coherence. Upload a video, describe the edit you want, and generate an edited video through the standard WaveSpeed prediction response.

Why Choose This?

  • Prompt-based video editing
    Edit an existing video using a simple natural-language instruction.

  • Scene-aware transformation
    Apply visual changes while keeping the overall scene structure coherent.

  • Simple input workflow
    Only a source video and edit prompt are required.

  • Preservation-friendly edits
    Use clear instructions to change specific elements while keeping the rest of the video consistent.

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

Parameters

ParameterRequiredDescription
videoYesSource video URL to edit.
promptYesInstruction describing how to edit the video.

How to Use

  1. Upload your video — Provide the source video you want to edit.
  2. Write your edit prompt — Describe the change you want to apply to the video.
  3. Submit — Generate the edited video.
  4. Use the result — Retrieve the generated video URL from the standard WaveSpeed prediction response.

Pricing

Pricing is $0.16 per second of source video duration, with a 3-second minimum and a 10-second maximum.

Source Video DurationPrice
3s or less$0.48
5s$0.80
8s$1.28
10s$1.60

Best Use Cases

  • Video restyling — Change the visual style, lighting, mood, or atmosphere of a source video.
  • Scene refinement — Apply focused edits while preserving the original scene structure.
  • Creative iteration — Test different edit directions from the same source video.
  • Short-form content editing — Create polished edited clips for social media, ads, and creative workflows.
  • Visual transformation — Modify the look or presentation of a video using prompt-based instructions.

Pro Tips

  • Use simple, focused edit prompts for better results.
  • Describe the exact change you want to apply to the source video.
  • Add instructions such as Keep everything else the same when you want to preserve the original scene.
  • Use clear source videos with visible subjects and stable framing.
  • Keep prompts focused on visual edits rather than unrelated changes.
Uwaga:Ta strona korzysta z modeli AI udostępnianych przez podmioty trzecie.

Gemini Omni Flash Video Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/gemini-omni-flash/video-edit 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 Video Edit below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light"
}
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/video-edit" \
  -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/video-edit";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "prompt": "A cinematic shot of a city at sunset, soft golden light"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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 = {
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light"
}

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/video-edit", 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 Video Edit API — Frequently asked questions

What is the Gemini Omni Flash Video Edit API?

Gemini Omni Flash Video Edit is a Google model for video editing, exposed as a REST API on WaveSpeedAI. Gemini Omni Flash Video Edit applies natural-language edit instructions to existing videos, enabling prompt-guided changes to scenes, style, motion, and visual details while preserving the original video context. 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 Video Edit 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-video-edit.

How much does Gemini Omni Flash Video Edit cost per run?

Gemini Omni Flash Video Edit starts at $0.16 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 Video Edit accept?

Key inputs: `prompt`, `video`. 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-video-edit.

How long does Gemini Omni Flash Video Edit take to generate?

Median end-to-end generation time on WaveSpeedAI is around 63 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 Video Edit 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 Video Edit API | WaveSpeedAI