# H3 Max Multi Angle

> H3 Max Multi Angle turns a single image into a video with precise, keyframe-based control over the camera's orbit, elevation, and distance in 3D space


## Overview

- **Endpoint**: `https://fal.run/minimax/h3-max/multi-angle/image-to-video`
- **Model ID**: `minimax/h3-max/multi-angle/image-to-video`
- **Category**: image-to-video
- **Kind**: inference
**Tags**: stylized, transform, editing



## Pricing

Video costs **$0.0125** per second at **480p**, **$0.02** per second at **768p**, and **$0.04** per second at **1080p**.

Note: these are promotional launch rates, **75%** off for a limited time. The discount ends **September 14**, after which **480p** is **$0.05**/second, **768p** is **$0.08**/second, and **1080p** is **$0.16**/second.

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`, _optional_):
  Text prompt for video generation. When omitted or blank, defaults to preserving the frozen reference scene while only the camera moves. Default value: `"The same elements in the reference are rigid. Preserve every element exactly. The entire scene is frozen. Only the camera moves. no scene motion only camera motion"`
  - Default: `"The same elements in the reference are rigid. Preserve every element exactly. The entire scene is frozen. Only the camera moves. no scene motion only camera motion"`
  - Examples: "Orbit precisely around the subject while preserving its identity and the scene."

- **`duration`** (`integer`, _optional_):
  The duration of the video in seconds. Default value: `5`
  - Default: `5`
  - Range: `5` to `15`

- **`resolution`** (`ResolutionEnum`, _optional_):
  The native generation resolution, or 1080P latent refinement from a native 768P source. Default value: `"480P"`
  - Default: `"480P"`
  - Options: `"480P"`, `"768P"`, `"1080P"`

- **`seed`** (`integer`, _optional_):
  Random seed. A random seed is selected when omitted.

- **`enable_safety_checker`** (`boolean`, _optional_):
  If set to true, the safety checker will be enabled. Default value: `true`
  - Default: `true`

- **`sync_mode`** (`boolean`, _optional_):
  Return the generated video as base64 instead of a CDN URL.
  - Default: `false`

- **`prompt_expansion_mode`** (`string`, _required_):
  How much effort to spend rewriting the prompt before generation. 'balanced' returns in about a second. 'quality' spends up to ~30s on a richer prompt. Default value: `"balanced"`
  - Default: `"balanced"`
  - Examples: "balanced", "quality"

- **`image_url`** (`string`, _required_):
  URL of the image to use as the first frame.
  - Examples: "https://storage.googleapis.com/falserverless/example_inputs/hailuo23/pro_i2v_in.jpg"

- **`camera_trajectory`** (`list<H3MaxCameraKeyframe>`, _optional_):
  Ordered camera keyframes. The first pose is held before its time and the final pose is held for the remainder of the video. Signed full turns are preserved, with at most 32 turns of total azimuth travel.
  - Array of H3MaxCameraKeyframe
  - Examples: [{"distance":1,"azimuth":0,"time":0,"elevation":0},{"distance":0.2,"azimuth":45,"time":0.3,"elevation":15},{"distance":1,"azimuth":90,"time":0.8,"elevation":-90}]



**Required Parameters Example**:

```json
{
  "prompt_expansion_mode": "balanced",
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/hailuo23/pro_i2v_in.jpg"
}
```

**Full Example**:

```json
{
  "prompt": "Orbit precisely around the subject while preserving its identity and the scene.",
  "duration": 5,
  "resolution": "480P",
  "enable_safety_checker": true,
  "prompt_expansion_mode": "balanced",
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/hailuo23/pro_i2v_in.jpg",
  "camera_trajectory": [
    {
      "distance": 1,
      "azimuth": 0,
      "time": 0,
      "elevation": 0
    },
    {
      "distance": 0.2,
      "azimuth": 45,
      "time": 0.3,
      "elevation": 15
    },
    {
      "distance": 1,
      "azimuth": 90,
      "time": 0.8,
      "elevation": -90
    }
  ]
}
```


### Output Schema

The API returns the following output format:

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

- **`expanded_prompt`** (`string`, _optional_):
  The prompt after expansion, as sent to the model. Null when prompt expansion was disabled, left the prompt unchanged, or was performed internally by MiniMax's hosted API.

- **`timings`** (`object`, _optional_):
  Timing breakdown in seconds. 'inference' is the DiT denoising time on the GPU backend. Null on routes that do not report backend timings.



**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/minimax/h3-max/multi-angle/image-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt_expansion_mode": "balanced",
     "image_url": "https://storage.googleapis.com/falserverless/example_inputs/hailuo23/pro_i2v_in.jpg"
   }'
```

### 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(
    "minimax/h3-max/multi-angle/image-to-video",
    arguments={
        "prompt_expansion_mode": "balanced",
        "image_url": "https://storage.googleapis.com/falserverless/example_inputs/hailuo23/pro_i2v_in.jpg"
    },
    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("minimax/h3-max/multi-angle/image-to-video", {
  input: {
    prompt_expansion_mode: "balanced",
    image_url: "https://storage.googleapis.com/falserverless/example_inputs/hailuo23/pro_i2v_in.jpg"
  },
  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);
```


## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/minimax/h3-max/multi-angle/image-to-video)
- [API Documentation](https://fal.ai/models/minimax/h3-max/multi-angle/image-to-video/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=minimax/h3-max/multi-angle/image-to-video)

### 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
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`