Gemini Omni 1.2 Flash Reference-to-Video creates short AI videos with synchronized audio from a text prompt plus optional image and video references, supporting character-consistent clips, visual reference guidance, social content, marketing videos, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.07per run·~14 / $1
Use @Image1 as the female singer and @Image2 as the ocean liner officer. Preserve their exact faces, hairstyles, clothing, accessories, and proportions. Opening frame: the singer stands beside a polished lounge table near a large ocean liner window, body angled slightly toward the room, one hand resting naturally on the table. The officer stands several steps behind her, holding a small gold locket in one hand. Neither character looks at the camera. Shot 1: a medium-wide shot. The officer walks over and quietly places the gold locket on the table beside her. Cut to a close shot of the locket. The singer notices it and slowly touches it with her fingertips. Cut to a medium two-shot. She looks up at the officer with sudden recognition. He gives her a subtle serious look, suggesting the object has an important history. Elegant vintage ocean-liner mystery, restrained acting, natural body language, subtle emotional tension, warm cinematic lighting, polished wood and brass interiors, classic film atmosphere.
A young female traveler wearing a dark green medieval cloak walks alone through a misty ancient forest at twilight, carrying the bronze lantern filled with floating golden lights.nnShe suddenly stops when the massive black stag with silver antlers emerges quietly from between the trees.nnThe stag watches her for a moment, then slowly turns and begins walking deeper into the forest. The tiny golden lights inside the lantern become brighter as it moves away.nnThe woman hesitates, then follows the stag.nnThe camera begins with a close tracking shot beside the glowing lantern, rises to reveal the woman and the black stag facing each other, then follows both of them from behind as they disappear into the misty forest.nnPreserve the exact reference designs: the midnight-black stag with enormous silver antlers and bronze bell, and the aged bronze lantern containing floating golden lights. Dark Western fantasy, ancient forest, cinematic fog, moonlight through trees, realistic movement, mysterious fairytale atmosphere, elegant and atmospheric rather than horror.
Gemini Omni 1.2 Flash Reference-to-Video generates synchronized audio and video from a prompt plus reference media. Use reference images for subject, character, product, or environment guidance, and add short reference videos when motion, camera behavior, or scene rhythm matters.
Multimodal reference guidance
Combine reference images and short reference videos to guide the final result.
Character and context consistency
Preserve recognizable subjects, visual identity, and scene context while generating a new video.
Motion and camera guidance
Use reference videos to communicate gestures, action, pacing, or camera movement that may be difficult to describe with text alone.
Synchronized audio
Generate video and matching audio together in one workflow.
Draft-to-production workflow
Start with 360p for faster testing, then move to 1080p or 4k for higher-quality delivery.
Flexible output formats
Supports both 16:9 and 9:16 for landscape and vertical video creation.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the desired scene and explain how the references should be used. |
| images | No | Up to 10 reference image URLs. |
| reference_videos | No | Up to 3 reference video URLs. Each reference video must be no longer than 3 seconds. |
| aspect_ratio | No | Output aspect ratio: 16:9 or 9:16. Default: 16:9. |
| resolution | No | Output resolution: 360p, 720p, 1080p, or 4k. Default: 720p. |
| duration | No | Video duration in seconds. Range: 3–15. Default: 8. |
16:9 for landscape video or 9:16 for vertical content.360p for quick testing, 720p for standard output, or 1080p / 4k for higher-quality delivery.3 to 15 seconds.Pricing is based on generated video duration and selected resolution.
| Resolution | Price per second |
|---|---|
| 360p | $0.023 |
| 720p | $0.07 |
| 1080p | $0.105 |
| 4k | $0.21 |
| Resolution | 5s | 8s | 15s |
|---|---|---|---|
| 360p | $0.115 | $0.184 | $0.345 |
| 720p | $0.35 | $0.56 | $1.05 |
| 1080p | $0.525 | $0.84 | $1.575 |
| 4k | $1.05 | $1.68 | $3.15 |
360p for iteration, then re-run at a higher resolution for final output.prompt is required.images or reference_videos.images supports up to 10 inputs.reference_videos supports up to 3 inputs, and each video must be at most 3 seconds.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/gemini-omni-1.2-flash/reference-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Gemini Omni 1.2 Flash Reference To Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 8
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/google/gemini-omni-1.2-flash/reference-to-video" \
-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-1.2-flash/reference-to-video";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 8
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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 = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 8
}
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-1.2-flash/reference-to-video", 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 1.2 Flash Reference To Video is a Google model for reference-guided video generation, exposed as a REST API on WaveSpeedAI. Gemini Omni 1.2 Flash Reference-to-Video creates short AI videos with synchronized audio from a text prompt plus optional image and video references, supporting character-consistent clips, visual reference guidance, social content, marketing videos, 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 Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/google/google-gemini-omni-1.2-flash-reference-to-video.
Gemini Omni 1.2 Flash Reference To Video starts at $0.07 per run or per second. 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`, `images`, `aspect_ratio`, `resolution`, `duration`, `reference_videos`. 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-1.2-flash-reference-to-video.
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). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.