# Gemini Omni Flash 1.2 Edit Video

> Gemini Omni Flash 1.2 is Google's multimodal video model. This endpoint edits an existing video of up to 15 seconds from a natural-language instruction, applying the requested change while keeping the rest of the scene unchanged. Output resolution is selectable from 360p, 720p, 1080p, or 4K.


## Overview

- **Endpoint**: `https://fal.run/google/gemini-omni-flash/v1.2/edit`
- **Model ID**: `google/gemini-omni-flash/v1.2/edit`
- **Category**: video-to-video
- **Kind**: inference
**Tags**: utility, editing, transform



## Pricing

Billing is calculated per second of the edited output video, by resolution. For **360p**, your request will cost **$0.0273** per second; for **720p**, **$0.0819** per second; for **1080p**, **$0.1229** per second; and for **4K**, **$0.2457** per second. Editing a **10-second** clip at **720p** costs about **$0.82**, or about **$1.23** at **1080p**.

For more details, see [fal.ai pricing](https://fal.ai/pricing).

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:


- **`prompt`** (`string`, _required_):
  A simple instruction describing the edit.
  - Examples: "Make this video anime. Keep everything else the same."

- **`video_url`** (`string`, _required_):
  URL of the video to edit. Must be at most 15 seconds long.
  - Examples: "https://storage.googleapis.com/falserverless/model_tests/video_models/mmaudio_input.mp4"

- **`resolution`** (`ResolutionEnum`, _optional_):
  The resolution of the edited video. Default value: `"720p"`
  - Default: `"720p"`
  - Options: `"360p"`, `"720p"`, `"1080p"`, `"4k"`



**Required Parameters Example**:

```json
{
  "prompt": "Make this video anime. Keep everything else the same.",
  "video_url": "https://storage.googleapis.com/falserverless/model_tests/video_models/mmaudio_input.mp4"
}
```

**Full Example**:

```json
{
  "prompt": "Make this video anime. Keep everything else the same.",
  "video_url": "https://storage.googleapis.com/falserverless/model_tests/video_models/mmaudio_input.mp4",
  "resolution": "720p"
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`File`, _required_):
  The generated video.



**Example Response**:

```json
{
  "video": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/google/gemini-omni-flash/v1.2/edit \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "Make this video anime. Keep everything else the same.",
     "video_url": "https://storage.googleapis.com/falserverless/model_tests/video_models/mmaudio_input.mp4"
   }'
```

### Python

Ensure you have the Python client installed:

```bash
pip install fal-client
```

Then use the API client to make requests:

```python
import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "google/gemini-omni-flash/v1.2/edit",
    arguments={
        "prompt": "Make this video anime. Keep everything else the same.",
        "video_url": "https://storage.googleapis.com/falserverless/model_tests/video_models/mmaudio_input.mp4"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)
```

### JavaScript

Ensure you have the JavaScript client installed:

```bash
npm install --save @fal-ai/client
```

Then use the API client to make requests:

```javascript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("google/gemini-omni-flash/v1.2/edit", {
  input: {
    prompt: "Make this video anime. Keep everything else the same.",
    video_url: "https://storage.googleapis.com/falserverless/model_tests/video_models/mmaudio_input.mp4"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);
```


## Deploy your own model

To run your own weights, a fine-tune or a custom pipeline on the GPUs that serve this API, deploy it on fal Serverless. GPUs from H100 (80GB) to B300 (288GB), billed per second; an H100 is $4.50/h list, as low as $2.49/h. Prices, GPU specs and deploy steps: [fal Serverless](https://fal.ai/serverless.md).

## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/google/gemini-omni-flash/v1.2/edit)
- [API Documentation](https://fal.ai/models/google/gemini-omni-flash/v1.2/edit/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=google/gemini-omni-flash/v1.2/edit)

### fal.ai Platform

- [Platform Documentation](https://fal.ai/docs/documentation)
- [Python Client](https://fal.ai/docs/api-reference/client-libraries/python)
- [JavaScript Client](https://fal.ai/docs/api-reference/client-libraries/javascript)

### Other agent-readable surfaces

This file covers one model. To find anything else:

- [Platform overview](https://fal.ai/llms.txt): Entry points and representative endpoint IDs
- [Documentation index](https://fal.ai/docs/llms.txt): Every documentation page
- [Full documentation text](https://fal.ai/docs/llms-full.txt): The whole documentation inlined
- [Pricing](https://fal.ai/pricing.md): Model API and Serverless GPU prices
- [fal Serverless](https://fal.ai/serverless.md): Deploy your own models: GPU prices, specs and steps
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`