Gemini Omni 1.1 Flash Video Edit applies natural-language edits to existing videos, supporting output resolutions from 360P to 4K for prompt-guided video modification, scene refinements, creative edits, marketing content, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.1per run·~10 / $1
Edit the video so that the weather outside becomes the first snowfall of winter while preserving the woman’s identity, clothing, and movement. Add soft snow falling outside the windows, colder blue-white light outdoors, subtle condensation on the glass, and a more nostalgic romantic atmosphere. Keep the café interior and camera motion consistent.
Edit the video into a science-fiction chase scene while preserving the man’s identity, the vintage car, and the driving direction. Add futuristic surveillance drones flying overhead, subtle scanning lights, a darker sky, and glowing technology elements along the road. Maintain the same car movement and cinematic flow, but create a more suspenseful sci-fi pursuit mood.
Gemini Omni 1.1 Flash Video Edit applies natural-language changes to an existing video while preserving its visual context. Use it to edit subjects, style, scene details, motion, lighting, or camera treatment, then choose a fast preview tier or a higher-resolution delivery tier.
Prompt-guided video editing
Describe the desired change in natural language instead of building a manual editing workflow.
Context-aware transformation
Use the source clip as visual context for subject, scene, motion, and composition.
Fast preview workflow
Generate 360p previews when comparing edit directions or testing prompts.
Flexible resolution options
Choose 360p, 720p, 1080p, or 4k depending on speed, cost, and output quality needs.
High-resolution delivery
Use 1080p or 4k when final output quality matters.
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Source video URL. Input video is limited to 10 seconds. |
| prompt | Yes | Natural-language edit instructions describing the desired change. |
| resolution | No | Output resolution: 360p, 720p, 1080p, or 4k. Default: 720p. |
10 seconds.360p for fast previews, 720p for standard output, or 1080p / 4k for higher-quality delivery.Pricing is based on source video duration and selected resolution.
Source duration is rounded up to the next whole second, with a minimum billed duration of 3 seconds and a maximum billed duration of 10 seconds.
| Resolution | Price per source-video second |
|---|---|
| 360p | $0.03 |
| 720p | $0.10 |
| 1080p | $0.15 |
| 4k | $0.30 |
| Resolution | 3s | 5s | 10s |
|---|---|---|---|
| 360p | $0.09 | $0.15 | $0.30 |
| 720p | $0.30 | $0.50 | $1.00 |
| 1080p | $0.45 | $0.75 | $1.50 |
| 4k | $0.90 | $1.50 | $3.00 |
360p before generating higher-resolution outputs.1080p or 4k for final delivery when quality matters.360p for fast iteration before moving to higher resolutions.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/gemini-omni-1.1-flash/video-edit with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Gemini Omni 1.1 Flash Video Edit below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "720p"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/google/gemini-omni-1.1-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="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(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' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/google/gemini-omni-1.1-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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "720p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
await new Promise(resolve => setTimeout(resolve, 2000));
}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",
"resolution": "720p"
}
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-1.1-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 = 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", "deleted"}:
raise RuntimeError(result)
time.sleep(2)Gemini Omni 1.1 Flash Video Edit is a Google model for video editing, exposed as a REST API on WaveSpeedAI. Gemini Omni 1.1 Flash Video Edit applies natural-language edits to existing videos, supporting output resolutions from 360P to 4K for prompt-guided video modification, scene refinements, creative edits, marketing content, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
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-1.1-flash-video-edit.
Gemini Omni 1.1 Flash Video Edit starts at $0.10 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.
Key inputs: `prompt`, `video`, `resolution`. 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-1.1-flash-video-edit.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
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.