Gemini Omni Flash Text to Video API
google/gemini-omni-flash/text-to-video
Gemini Omni Flash Text to Video creates short AI videos with synchronized audio from text prompts, combining visual generation and audio output for fast multimodal video creation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Examples
Parameters
| Name | Type | Default | Constraints | Description |
|---|---|---|---|---|
| prompt *Prompt | textarea | — | ≤ 5000 chars | Text prompt describing the video to generate. |
| aspect_ratioAspect Ratio | select | 16:9 | 16:9 | 9:16 | Aspect ratio of the generated video. |
| durationDuration | select | 8 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Duration of the generated video in seconds. |
API
Call this model through one unified REST API. Get a key on the API Keys page.
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/google/gemini-omni-flash/text-to-video" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"prompt": "A cinematic portrait, dramatic rim light, shallow depth of field",
"aspect_ratio": "16:9",
"duration": 8
}
}'
# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
-H "Authorization: Bearer YOUR_API_KEY"Python
import time, requests
API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
# 1) Submit
resp = requests.post(
"https://www.namifusion.com/api/v1/marketplace/run/google/gemini-omni-flash/text-to-video",
headers=HEADERS,
json={
"input": {
"prompt": "A cinematic portrait, dramatic rim light, shallow depth of field",
"aspect_ratio": "16:9",
"duration": 8
}
},
)
resp.raise_for_status() # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()
# 2) Poll until a terminal state (completed / failed / cancelled).
# This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
if time.time() > deadline:
raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
time.sleep(3)
poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
poll.raise_for_status()
task = poll.json()
print(task["status"], task.get("output"))JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };
// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/google/gemini-omni-flash/text-to-video", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"prompt": "A cinematic portrait, dramatic rim light, shallow depth of field",
"aspect_ratio": "16:9",
"duration": 8
}
}),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();
// 2) Poll until a terminal state (completed / failed / cancelled).
// This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
await new Promise((r) => setTimeout(r, 3000));
const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
task = await poll.json();
}
console.log(task.status, task.output);Documentation
Gemini Omni Flash Text to Video API
Fast text-to-video generation with synchronized audio, no cold starts, and cost-efficient short-form output.
Gemini Omni Flash Text to Video is a multimodal text-to-video model designed to generate short AI videos with synchronized audio from natural-language prompts. It is optimized for fast creative iteration, reliable production readiness, and affordable per-second pricing, making it a strong choice for developers and teams building short-form video workflows.
🚀 Key Features
- Text-to-video generation: Create short videos directly from a natural-language prompt without requiring source footage.
- Synchronized audio: Generate visual content and matching audio together for more complete multimodal outputs.
- No cold starts: Well-suited for production environments and frequent invocation where responsiveness matters.
- Simple aspect ratio control: Supports 16:9 for landscape and 9:16 for portrait video generation.
- Short-form optimization: Generate clips from 3 to 10 seconds, ideal for rapid testing and creative iteration.
- Affordable pricing: Transparent per-second pricing helps control costs across prototyping and scaled content generation.
🛠️ Technical Specifications
| Item | Details |
|---|---|
| Model Name | Gemini Omni Flash Text to Video API |
| Model ID | google/gemini-omni-flash/text-to-video |
| Model Architecture | Multimodal text-to-video model with synchronized audio generation |
| Input Format | Text prompt |
| Output Format | Video + Audio |
| Prompt | Describe scene, subject, motion, camera behavior, pacing, and audio direction |
| Aspect Ratio | 16:9(default), 9:16 |
| Duration | 3–10 seconds(default: 8) |
| Resolution | Not publicly specified; optimized for short-form landscape and portrait output |
| Fps | Not publicly specified |
| Latency | Not publicly specified; positioned for fast generation with no cold starts |
| Delivery | Standard video output |
| Primary Tasks | Short video generation, audio-visual scene creation, creative prototyping |
Sample Prompts
A cinematic sunset beach scene with gentle waves, a woman walking along the shoreline, slow camera pan, calm pacing, soft ambient ocean sounds and distant seagulls.A vertical street-food video at night in Tokyo, steam rising from fresh ramen, handheld camera movement, energetic pacing, lively city ambience and cooking sounds.A futuristic sports car driving through a neon-lit city, dynamic tracking shot, fast pacing, dramatic engine sound and electronic background music.
💰 Pricing
| Mode | Price |
|---|---|
| Base Price | $0.13 / second |
| 3-second video | $0.39 |
| 5-second video | $0.65 |
| 8-second video | $1.04 |
| 10-second video | $1.30 |
💡 Best Use Cases
- Social media content: Generate portrait or landscape short videos for mobile-first and short-form publishing channels.
- Creative prototyping: Test scene ideas, pacing, camera motion, and audio direction before full production.
- Advertising and e-commerce: Produce lightweight promotional clips, product teasers, and campaign concepts efficiently.
- Audio-visual storytelling: Create scenes where sound design is important alongside visual composition and motion.
🔗 Related Models
- Google Gemini Omni Flash Reference To Video: Better suited for workflows that build videos from reference inputs or visual guidance.
- Google Gemini Omni Flash Video Edit: Designed for editing or refining existing video content.
Related models
xAI Grok Imagine Video v1.5 Text to Video
Generate 1-15 second videos from text prompts at 480p, 720p, or 1080p.
MiniMax H3 Text to Video
MiniMax H3 Text to Video generates coherent 2K videos from text prompts, with flexible 4-15 second duration and six selectable aspect ratios for cinematic scenes, creative videos, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Kling Omni Video O3 Standard Text-To-Video
Kling Omni Video O3 is Kuaishou's advanced unified multi-modal video model with MVL (Multi-modal Visual Language) technology. Text-to-Video mode generates cinematic videos from text prompts with subject consistency, natural physics simulation, and precise semantic understanding. Supports audio generation. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Kling Omni Video O1 Text-To-Video
Kling Omni Video O1 is Kuaishou's first unified multi-modal video model with MVL (Multi-modal Visual Language) technology. Text-to-Video mode generates cinematic videos from text prompts with subject consistency, natural physics simulation, and precise semantic understanding. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Kling 3.0
Kling 3.0 delivers high-quality text-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and native audio for ready-to-share clips. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Kling V2.6 Text to Video API
Kling 2.6 delivers top-tier text-to-video generation with smooth motion, cinematic visuals, strong prompt adherence, and native audio for ready-to-share clips. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Seedance 2.0 Mini Text to Video
Seedance 2.0 Mini Text to Video is ByteDance's faster, lower-cost text-to-video model for cinematic multi-shot videos. It generates narrative sequences from text prompts with AI camera control, consistent characters across scenes, 480P / 720P / 1080P / 4K output, 4-15s duration, and flexible aspect ratios. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Seedance 2.5 Text-to-Video
Seedance 2.5 delivers next-generation high-quality video generation with text-to-video, multiple aspect ratios, 480p/720p/1080p resolution options, and AI-synchronized audio generation. It features improved prompt following, camera control, and motion quality.