Text to Image
Create AI images from text prompts
Google/gemini-omni-1.2-flash-video-edit
gemini-omni-1.2-flash-video-edit
Use Google's Gemini Omni 1.2 Flash API on Flaq AI to edit source footage with a prompt while keeping the original clip's duration and framing in the output.
Video Edit
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-video-edit',
prompt: 'A small ball rolls into the scene and captures the attention of the cat',
video_url: 'https://example.com/source-video.mp4',
resolution: '1080p'
})
});
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-video-edit',
'prompt': 'A small ball rolls into the scene and captures the attention of the cat',
'video_url': 'https://example.com/source-video.mp4',
'resolution': '1080p'
}
)
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-video-edit",
"prompt": "A small ball rolls into the scene and captures the attention of the cat",
"video_url": "https://example.com/source-video.mp4",
"resolution": "1080p"
}'
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 Video Edit Pricing
| Parameters | Price | Original Price | Discount |
|---|
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Gemini Omni 1.2 Flash Video Edit API for Prompt-Guided Video Revisions
Gemini Omni 1.2 Flash Video Edit API uses an existing video and a text instruction to generate an edited version on Flaq AI. Use written direction to explore changes to an existing scene. This workflow gives developers a way to add instruction-based video revisions to creative applications and review processes.
Key Features of Gemini Omni 1.2 Flash Video Edit API
-
Prompt-Guided Video Revision: Apply written edit instructions to existing footage to create a revised version of the scene.
-
Scene Appearance Changes: Request changes to a background, lighting, or weather through natural-language instructions.
-
Edits within the Source Format: Revise visual content while retaining the source clip's duration and aspect ratio.
How to Use Gemini Omni 1.2 Flash Video Edit API on Flaq AI
-
Input: Provide a short source video and a prompt specifying the edit. Keep the clip within the supported input duration range, including the provider's minimum-length guidance; consult the API documentation for current limits.
-
Edit Direction: State the desired change and identify details that should remain, so the instruction communicates the intended scope of the revision.
-
Output Settings: Select the output resolution. Duration and aspect ratio are determined by the source video and cannot be set independently.
-
Output: Retrieve the edited video when the processing task finishes.
-
Billing: Usage is billed at the selected output resolution by source-video duration, rounded to the nearest whole second with a minimum billable duration of 3 seconds.
Best Use Cases for Gemini Omni 1.2 Flash Video Edit API Integration
-
Short-Clip Revision Workflows: Add prompt-based revision requests to an internal video review tool.
-
Campaign Background Variations: Request a different setting for an existing campaign scene and review the result against the creative brief.
-
Product Scene Lighting Exploration: Request a lighting change in a short product scene and compare the generated result with the source.
-
Creative Brief Evaluation: Test whether a proposed change communicates the desired idea before planning further editing work.
Note Prepare the source clip with the timing and proportions needed for the result. Billing rounds the source duration for charging purposes; this does not set or extend the actual output duration. Review the edited result to check that it matches the requested change.
Gemini Omni 1.2 Flash Video Edit: Comparative Analysis
-
Compared with Text-to-Video: Video Edit requires existing footage. Text-to-Video generates a new clip from a written scene description and lets the caller choose its duration and orientation.
-
Compared with Image-to-Video: Image-to-Video animates a starting image and can use an optional ending image. Video Edit instead takes a complete source clip as the material to revise.
-
Compared with Reference-to-Video: Reference-to-Video uses images or short video references to guide a new generation. Video Edit uses the supplied clip as the editing input, and that clip determines output timing and proportions.
Use the Gemini Omni 1.2 Flash Video Edit Model Directly in Powerful AI Tools
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