Gemini Omni Flash Reference to Video API

Gemini Omni Flash Reference-to-Video

Gemini Omni Flash Reference-to-Video creates short videos from one or more reference images and a text prompt. Reference images can guide the subject, style, layout, and visual direction of the generated video, while the prompt controls motion, scene development, pacing, and audio direction.

Why Choose This?

Reference-to-video generation
Generate a short video from multiple reference images and a text prompt.
Subject and style guidance
Use reference images to guide characters, objects, visual style, layout, or scene composition.
Synchronized audio
Generate audio together with the video output.
Prompt-guided motion
Describe the scene, camera movement, subject behavior, pacing, and audio direction in natural language.
Simple aspect ratio control
Choose 16:9 for landscape videos or 9:16 for portrait videos.

Parameters

Parameter	Required	Description
images	Yes	Reference image URLs to incorporate into the video.
prompt	Yes	Text prompt describing the video, including scene, motion, pacing, and audio direction.
aspect_ratio	No	Output aspect ratio: `16:9` or `9:16`. Default: `16:9`.
duration	No	Output duration in seconds. Range: `3` to `10`. Default: `8`.

How to Use

Upload reference images — Provide one or more images to guide the subject, style, layout, or scene composition.
Write your prompt — Describe the video scene, motion, camera behavior, pacing, and audio direction.
Choose aspect ratio — Use 16:9 for landscape video or 9:16 for portrait video.
Set duration — Choose a duration from 3 to 10 seconds.
Submit — Generate the final video with synchronized audio.

Pricing

Pricing is $0.16 per second of generated video.

Duration	Price
3s	$0.48
5s	$0.80
8s	$1.28
10s	$1.60

Best Use Cases

Reference-guided video generation — Create videos using one or more images as visual references.
Character and subject consistency — Use reference images to guide people, products, objects, or visual identity.
Style-driven clips — Generate videos that follow a specific visual style, layout, or mood.
Audio-video scenes — Create short videos with synchronized sound from reference images and text.
Creative prototyping — Test video concepts, motion ideas, and scene directions from visual references.

Pro Tips

Use clear reference images that strongly represent the subject or style you want.
Use multiple references when character, object, or style consistency matters.
Be specific about motion, camera movement, pacing, and audio direction in the prompt.
Use 16:9 for landscape scenes and 9:16 for vertical mobile content.
Use shorter durations for quick testing and longer durations when the scene needs more time to develop.

Gemini Omni Flash Reference To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/gemini-omni-flash/reference-to-video 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 Reference To Video 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/reference-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "16:9",
    "duration": 8
}'

# 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/reference-to-video", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "16:9",
        "duration": 8
}, {
    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/reference-to-video",
        {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "16:9",
    "duration": 8
},
        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 Reference To Video API — Frequently asked questions

What is the Gemini Omni Flash Reference To Video API?

Gemini Omni Flash Reference To Video is a Google model for video generation from images, exposed as a REST API on WaveSpeedAI. Gemini Omni Flash Reference to Video creates short AI videos with synchronized audio from one or more reference images and a text prompt, preserving visual identity and following the provided references for guided multimodal video generation. 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 Reference To Video 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-reference-to-video.

How much does Gemini Omni Flash Reference To Video cost per run?

Gemini Omni Flash Reference To Video 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 Reference To Video accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `duration`. 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-reference-to-video.

How do I get started with the Gemini Omni Flash Reference To Video 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 Reference To Video 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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