# Gemini Omni 1.2 Flash Video Upscale — Atlas Cloud API

> A Google DeepMind upscaler from the Gemini Omni 1.2 Flash family that takes a 360p, 720p, or 1080p clip of up to 15 seconds to 720p, 1080p, or 4K while preserving its motion, framing, and timing, so you only pay for high resolution on the clips you keep.

This is the machine-readable API reference for **Gemini Omni 1.2 Flash Video Upscale** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `google/gemini-omni-1.2-flash/video-upscale`
- **Built by**: Google
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/google/gemini-omni-1.2-flash/video-upscale
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.031 per second of generated video
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_video` with `model: "google/gemini-omni-1.2-flash/video-upscale"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate video google/gemini-omni-1.2-flash/video-upscale -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `google/gemini-omni-1.2-flash/video-upscale`


## 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:

- **`model`** (`string`, _required_):
  model name
  - Default: `"google/gemini-omni-1.2-flash/video-upscale"`

- **`video`** (`string`, _required_):
  The source video to upscale. Must be a publicly accessible URL, up to 15 seconds long, at 360p, 720p, or 1080p, with a 16:9 or 9:16 aspect ratio. The frame rate (24 fps) is preserved. Optimized for videos generated by Gemini Omni models; other videos may upscale with lower quality. Supported format: MP4.

- **`resolution`** (`string`, _required_):
  The target resolution of the upscaled video. Allowed source to target: 360p to 720p or 1080p; 720p to 1080p or 4k; 1080p to 4k. Upscaling 360p directly to 4k is not supported.
  - Default: `"1080p"`
  - Options: "720p", "1080p", "4k"

- **`seed`** (`integer`, _optional_):
  The random seed to use for the generation. -1 means a random seed will be used.
  - Default: `-1`



**Required Parameters Example**:

```json
{
  "model": "google/gemini-omni-1.2-flash/video-upscale",
  "video": "",
  "resolution": "1080p"
}
```


**Full Example**:

```json
{
  "model": "google/gemini-omni-1.2-flash/video-upscale",
  "video": "",
  "resolution": "1080p",
  "seed": -1
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):
  HTTP status code of the response.

- **`message`** (`string`, _optional_):
  Human-readable message; non-empty on failure.

- **`data`** (`object`, _optional_):
  - Properties:
    - **`id`** (`string`, _optional_):
      Unique identifier for the prediction.

    - **`model`** (`string`, _optional_):
      Model ID used for the prediction.

    - **`outputs`** (`array[string]`, _optional_):
      Array of URLs to the generated content. Null when status is not completed.

    - **`urls`** (`object`, _optional_):
      Object containing related API endpoints.
      - Properties:
        - **`get`** (`string`, _optional_):
          URL to poll for the prediction result.


    - **`status`** (`string`, _optional_):
      Status of the task: created, processing, completed, timeout, or failed.

    - **`created_at`** (`string`, _optional_):
      ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

    - **`error`** (`string`, _optional_):
      Error message if the task failed, empty string otherwise.

    - **`error_code`** (`integer`, _optional_):
      Error code if the task failed.

    - **`executionTime`** (`number`, _optional_):
      Total execution time in milliseconds.

    - **`timings`** (`object`, _optional_):
      Detailed timing breakdown.
      - Properties:
        - **`inference`** (`number`, _optional_):
          Inference time in milliseconds.





**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": {
    "id": "",
    "model": "",
    "outputs": [
      ""
    ],
    "urls": {
      "get": ""
    },
    "status": "",
    "created_at": "",
    "error": "",
    "error_code": 0,
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  }
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "google/gemini-omni-1.2-flash/video-upscale",
  "video": "",
  "resolution": "1080p",
  "seed": -1
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/google/gemini-omni-1.2-flash/video-upscale)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

### Gemini Omni 1.2 Flash — Video Upscale

**Model ID:** `google/gemini-omni-1.2-flash/video-upscale`

Gemini Omni 1.2 Flash is Google DeepMind's natively multimodal model for video generation and editing. This variant is its **standalone upscaler**. Give it a 360p, 720p, or 1080p clip and a target resolution, and it returns the same video at **720p, 1080p, or 4K**. It is the finishing step of a draft-then-finish workflow, so you only pay the high-resolution cost on clips you have already approved.

#### Overview

Gemini Omni 1.2 Flash is Google DeepMind's next step toward models that can create and edit anything from any input, starting with video. It generates, edits, extends, and upscales clips **with synchronized audio up to 15 seconds long** at 360p, 720p, 1080p, or 4K, in landscape (16:9) or portrait (9:16). It follows both simple and complex instructions, simulates real-world physics, and lets you refine footage through plain-language edits, one turn at a time.

Gemini Omni Flash is a single transformer that processes text, images, audio, and video together. It does not stitch separate per-modality pipelines together, so its output is more cohesive, more consistent across turns, and more controllable than a generate-then-dub workflow. **Audio is generated natively with every video**: dialogue, ambience, music, and sound effects are produced together with the picture, not added afterward. The model uses Gemini's real-world knowledge to reason about physics, narrative logic, and visual composition. Every output carries an imperceptible SynthID watermark, and Content Credentials (C2PA) are supported for provenance verification.

##### What's new in 1.2

Version 1.2 improves on Omni 1.1 Flash in length, consistency, and cost:

_(Description truncated. Full text on the model page.)_

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/google/gemini-omni-1.2-flash/video-upscale · Docs: https://www.atlascloud.ai/docs