# H3 Max Hand Drawn

> Generates 768p video with audio in a hand-drawn animation style from text prompts or an optional first-frame image. Supports durations of 5–15 seconds.


## Overview

- **Endpoint**: `https://fal.run/minimax/h3-max/styles/hand-drawn`
- **Model ID**: `minimax/h3-max/styles/hand-drawn`
- **Category**: text-to-video
- **Kind**: inference
**Tags**: hand-drawn, pencil, animation, stylized



## Pricing

Billing is calculated per second of video generated. Video at **768p** costs **$0.08 per second**, with audio included. A **5-second** video costs **$0.40**, and a **15-second** video costs **$1.20**.

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_):
  Describe the scene, action, camera and sound. The Hand drawn style is applied automatically.
  - Examples: "A weary office worker watches his neck stretch upward as a tiny bird lands on his head. Medium locked shot, exaggerated surprise. Soft wing flutters and distant city ambience, no speech."

- **`image_url`** (`string`, _optional_):
  Optional first-frame image. Use pencil artwork for the most consistent look; the image's aspect ratio determines the output canvas.

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

- **`aspect_ratio`** (`AspectRatioEnum`, _optional_):
  Video aspect ratio for text-only generation. Ignored when image_url is provided. Default value: `"16:9"`
  - Default: `"16:9"`
  - Options: `"21:9"`, `"16:9"`, `"4:3"`, `"1:1"`, `"3:4"`, `"9:16"`

- **`seed`** (`integer`, _optional_):
  Random seed. Omit to choose one automatically.



**Required Parameters Example**:

```json
{
  "prompt": "A weary office worker watches his neck stretch upward as a tiny bird lands on his head. Medium locked shot, exaggerated surprise. Soft wing flutters and distant city ambience, no speech."
}
```

**Full Example**:

```json
{
  "prompt": "A weary office worker watches his neck stretch upward as a tiny bird lands on his head. Medium locked shot, exaggerated surprise. Soft wing flutters and distant city ambience, no speech.",
  "duration": 5,
  "aspect_ratio": "16:9"
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`File`, _required_):
  Generated 768P hand-drawn animation video with audio.

- **`seed`** (`integer`, _required_):
  Seed used for this generation.



**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/styles/hand-drawn \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A weary office worker watches his neck stretch upward as a tiny bird lands on his head. Medium locked shot, exaggerated surprise. Soft wing flutters and distant city ambience, no speech."
   }'
```

### 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/styles/hand-drawn",
    arguments={
        "prompt": "A weary office worker watches his neck stretch upward as a tiny bird lands on his head. Medium locked shot, exaggerated surprise. Soft wing flutters and distant city ambience, no speech."
    },
    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/styles/hand-drawn", {
  input: {
    prompt: "A weary office worker watches his neck stretch upward as a tiny bird lands on his head. Medium locked shot, exaggerated surprise. Soft wing flutters and distant city ambience, no speech."
  },
  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/styles/hand-drawn)
- [API Documentation](https://fal.ai/models/minimax/h3-max/styles/hand-drawn/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=minimax/h3-max/styles/hand-drawn)

### 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`