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Gemini Omni Flash Video Edit API

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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
Input

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Idle

$0.16per run·~62 / $10

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ExamplesView all

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.

Source Video DurationPrice
3s or less$0.48
5s$0.80
8s$1.28
10s$1.60
30s$4.80

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.
Accessibility:This website uses AI models provided by third parties.

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; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Gemini Omni Flash Video Edit below.

HTTP example
# Submit the prediction
curl -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"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

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"
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.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"
}
)

print(output["outputs"][0])  # → URL of the generated output

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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. 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.