Gemini Omni Flash Video Edit API

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

Parameter	Required	Description
video	Yes	Source video URL to edit.
prompt	Yes	Instruction describing how to edit the video.

How to Use

Upload your video — Provide the source video you want to edit.
Write your edit prompt — Describe the change you want to apply to the video.
Submit — Generate the edited video.
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 Duration	Price
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.

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 URLs from data.outputs. Examples for Gemini Omni Flash Video Edit below.

HTTP example

# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
  -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 '{
    "video": "https://example.com/your-input.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light"
}'

# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
  --retry 4 --retry-all-errors --retry-delay 1 \
  -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.

Node.js example

// npm install wavespeed
const { Client } = require('wavespeed');

const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);

try {
  const result = await client.run("google/gemini-omni-flash/video-edit", {
        "video": "https://example.com/your-input.mp4",
        "prompt": "A cinematic shot of a city at sunset, soft golden light"
}, {
    timeout: 3600,
    pollInterval: 2.0,
  });
  console.log(result.outputs);
} catch (error) {
  console.error('Generation failed:', error);
  process.exitCode = 1;
}

Python example

# pip install wavespeed
import os
from wavespeed import Client

client = Client(api_key=os.environ["WAVESPEED_API_KEY"])

try:
    output = client.run(
        "google/gemini-omni-flash/video-edit",
        {
    "video": "https://example.com/your-input.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light"
},
        timeout=3600.0,
        poll_interval=2.0,
    )
    print(output["outputs"])
except Exception as error:
    raise SystemExit(f"Generation failed: {error}") from error

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 do I get started with the Gemini Omni Flash Video Edit API?

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.

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.

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