# Ideogram Transparent

> Generate images with transparent backgrounds using Ideogram Transparent model


## Overview

- **Endpoint**: `https://fal.run/fal-ai/ideogram/v3/generate-transparent`
- **Model ID**: `fal-ai/ideogram/v3/generate-transparent`
- **Category**: text-to-image
- **Kind**: inference
**Tags**: stylized, transform, typography



## Pricing

Your request will cost **$0.03** with TURBO, **$0.06** with BALANCED, and **$0.09** with QUALITY.

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_)
  - Examples: "A logo for Ideogram Coffee."

- **`aspect_ratio`** (`AspectRatioEnum`, _optional_):
  The aspect ratio of the generated image. Default value: `"1:1"`
  - Default: `"1:1"`
  - Options: `"1:3"`, `"3:1"`, `"1:2"`, `"2:1"`, `"9:16"`, `"16:9"`, `"10:16"`, `"16:10"`, `"2:3"`, `"3:2"`, `"3:4"`, `"4:3"`, `"4:5"`, `"5:4"`, `"1:1"`

- **`rendering_speed`** (`RenderingSpeedEnum`, _optional_):
  The rendering speed to use. Default value: `"BALANCED"`
  - Default: `"BALANCED"`
  - Options: `"FLASH"`, `"TURBO"`, `"BALANCED"`, `"QUALITY"`

- **`expand_prompt`** (`boolean`, _optional_):
  Determine if MagicPrompt should be used in generating the request or not. Default value: `true`
  - Default: `true`

- **`negative_prompt`** (`string`, _optional_):
  Description of what to exclude from an image. Descriptions in the prompt take precedence to descriptions in the negative prompt. Default value: `""`
  - Default: `""`

- **`num_images`** (`integer`, _optional_):
  Number of images to generate. Default value: `1`
  - Default: `1`
  - Range: `1` to `8`

- **`seed`** (`integer`, _optional_):
  Seed for the random number generator

- **`sync_mode`** (`boolean`, _optional_):
  If `True`, the media will be returned as a data URI and the output data won't be available in the request history.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "prompt": "A logo for Ideogram Coffee."
}
```

**Full Example**:

```json
{
  "prompt": "A logo for Ideogram Coffee.",
  "aspect_ratio": "1:1",
  "rendering_speed": "BALANCED",
  "expand_prompt": true,
  "num_images": 1
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<File>`, _required_)
  - Array of File
  - Examples: [{"url":"https://v3.fal.media/files/lion/AUfCjtLkLOsdc9zEFrV-5_image.png"}]

- **`seed`** (`integer`, _required_):
  Seed used for the random number generator
  - Examples: 123456



**Example Response**:

```json
{
  "images": [
    {
      "url": "https://v3.fal.media/files/lion/AUfCjtLkLOsdc9zEFrV-5_image.png"
    }
  ],
  "seed": 123456
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/ideogram/v3/generate-transparent \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A logo for Ideogram Coffee."
   }'
```

### 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(
    "fal-ai/ideogram/v3/generate-transparent",
    arguments={
        "prompt": "A logo for Ideogram Coffee."
    },
    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("fal-ai/ideogram/v3/generate-transparent", {
  input: {
    prompt: "A logo for Ideogram Coffee."
  },
  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/fal-ai/ideogram/v3/generate-transparent)
- [API Documentation](https://fal.ai/models/fal-ai/ideogram/v3/generate-transparent/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/ideogram/v3/generate-transparent)

### fal.ai Platform

- [Platform Documentation](https://docs.fal.ai)
- [Python Client](https://docs.fal.ai/clients/python)
- [JavaScript Client](https://docs.fal.ai/clients/javascript)