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.
ว่าง
$0.16ต่อครั้ง·~62 / $10
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.
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.
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.
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Source video URL to edit. |
| prompt | Yes | Instruction describing how to edit the video. |
Pricing is $0.16 per second of source video duration, with a 3-second minimum.
| Source Video Duration | Price |
|---|---|
| 3s or less | $0.48 |
| 5s | $0.80 |
| 8s | $1.28 |
| 10s | $1.60 |
| 30s | $4.80 |
Keep everything else the same when you want to preserve the original scene.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.
# 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].// 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# 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 outputGemini 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.
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.
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.
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.
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.