Text to Image
Create AI images from text prompts
Google/gemini-omni-1.2-flash-text-to-video
gemini-omni-1.2-flash-text-to-video
Try Google's Gemini Omni 1.2 Flash API on Flaq AI to turn written scenes into video. Set the duration and create landscape or portrait clips up to 15 seconds.
Text to Video
Related Gemini Omni 1.2 Flash Models
API Examples
Submit Example
const response = await fetch('https://api.flaq.ai/api/v1/video/task', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
body: JSON.stringify({
model_name: 'gemini-omni-1.2-flash-text-to-video',
prompt: 'A cinematic tracking shot follows a sailboat crossing a glowing ocean at sunset',
aspect_ratio: '16:9',
resolution: '1080p',
duration: 12
})
});
const { data } = await response.json();
const taskId = data.task_id;
Polling Example
// Step 2: Poll for results
const taskId = data.task_id;
const pollResult = async (taskId) => {
const res = await fetch(`https://api.flaq.ai/api/v1/video/${taskId}`, {
headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
});
return res.json();
};
while (true) {
const pollResultData = await pollResult(taskId);
const status = pollResultData.data.task_status;
if (status === 'succeed') {
console.log(pollResultData.data.task_result.videos[0].url);
break;
}
if (status === 'failed') {
console.error(pollResultData.data.task_status_msg);
break;
}
await new Promise(resolve => setTimeout(resolve, 10000));
}
Submit Example
import requests
response = requests.post(
'https://api.flaq.ai/api/v1/video/task',
headers={
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
json={
'model_name': 'gemini-omni-1.2-flash-text-to-video',
'prompt': 'A cinematic tracking shot follows a sailboat crossing a glowing ocean at sunset',
'aspect_ratio': '16:9',
'resolution': '1080p',
'duration': 12
}
)
result = response.json()
task_id = result['data']['task_id']
Polling Example
# Step 2: Poll for results
task_id = response.json()['data']['task_id']
poll_url = f"https://api.flaq.ai/api/v1/video/{task_id}"
while True:
poll_result = requests.get(poll_url, headers={'Authorization': 'Bearer YOUR_API_KEY'}).json()
status = poll_result['data']['task_status']
if status == 'succeed':
print(poll_result['data']['task_result']['videos'][0]['url'])
break
if status == 'failed':
print(poll_result['data']['task_status_msg'])
break
time.sleep(10)
Submit Example
curl -X POST https://api.flaq.ai/api/v1/video/task \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model_name": "gemini-omni-1.2-flash-text-to-video",
"prompt": "A cinematic tracking shot follows a sailboat crossing a glowing ocean at sunset",
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": 12
}'
Polling Example
# Step 2: Poll for results
# Replace {task_id} with the task_id returned from the submit response
curl -X GET "https://api.flaq.ai/api/v1/video/{task_id}" \
-H "Authorization: Bearer YOUR_API_KEY"
Try the AI Video Generator now
Gemini Omni 1.2 Flash Text to Video Pricing
| Parameters | Price | Original Price | Discount |
|---|
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Gemini Omni 1.2 Flash Text-to-Video API for Prompt-Based Video Creation
Gemini Omni 1.2 Flash Text-to-Video API turns a written scene description into a short video on Flaq AI. Start with the subject and action, then describe the setting and intended visual direction. With selectable output resolution, clip length, and landscape or portrait framing, developers can incorporate text-led video generation into creative tools and content workflows without supplying source images or footage.
Key Features of Gemini Omni 1.2 Flash Text-to-Video API
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Scene Creation from Text: Turn a written concept into moving imagery without preparing source artwork or footage.
-
Prompt-Based Scene Direction: Express the intended subject, setting, movement, and visual treatment in natural language.
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Camera Direction through Prompts: Describe camera movement and framing as part of the scene brief to guide how the action is presented.
How to Use Gemini Omni 1.2 Flash Text-to-Video API on Flaq AI
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Input: Provide a text prompt describing the scene to generate. Make the main action clear before adding details about lighting, composition, or camera movement.
-
Output Settings: Choose landscape or portrait framing, an output resolution, and a duration within the supported short-video range. See the API documentation for current limits.
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Output: Submit the generation task and retrieve the resulting video when processing completes.
-
Billing: Usage is billed per second of requested output duration at the selected resolution.
Best Use Cases for Gemini Omni 1.2 Flash Text-to-Video API Integration
-
Campaign Storyboards: Turn written scene ideas into video concepts for a campaign review.
-
Social Video Concepts: Develop short landscape or portrait scenes around a launch message or editorial theme.
-
Pre-Production Exploration: Try different settings and actions before creating source artwork or filming footage.
-
Creative Application Features: Let users submit scene descriptions and receive generated clips within an existing product workflow.
Note Keep the requested action appropriate for the clip length. Review generated results against the creative brief, and ensure prompts comply with applicable content policies.
Gemini Omni 1.2 Flash Text-to-Video: Comparative Analysis
-
Compared with Image-to-Video: Text-to-Video starts from a written brief. Choose Gemini Omni 1.2 Flash Image-to-Video when an existing image should define the starting frame or an optional image should guide the ending.
-
Compared with Reference-to-Video: Reference-to-Video requires visual reference material. Text-to-Video suits projects that begin with a description and do not need supplied image or video references.
-
Compared with Video Edit: Video Edit modifies an existing clip and takes its timing and aspect ratio from that source. Text-to-Video creates a new clip with a selected duration and orientation.
Use the Gemini Omni 1.2 Flash Text to Video Model Directly in Powerful AI Tools
Explore several AI creation tools for quick image and video workflows in your browser, then scale successful ideas with Flaq AI's production-ready model APIs. Flaq AI provides a unified API layer for all models, making it easy to use and scale your workflows.
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Reference to Video
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AI Canvas
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