# Seedream 5.0 Pro Text to Image

> ByteDance's Seedream 5.0 Pro is flagship text-to-image model, with deep-thinking prompt understanding, native text in 14 languages, and precise control over dense layouts and structured designs.


## Overview

- **Endpoint**: `https://fal.run/bytedance/seedream/v5/pro/text-to-image`
- **Model ID**: `bytedance/seedream/v5/pro/text-to-image`
- **Category**: text-to-image
- **Kind**: inference
**Tags**: realism, typography, stylized



## Pricing

Tentative pricing is **$0.0675** per image for images of total area less than or equal to **1536x1536** pixels. For images with area in between **1536x1536** and **2048x2048** pixels, the price is **$0.135** per image.

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_):
  The text prompt used to generate the image.
  - Examples: "Vibrant editorial of a model in contemporary fashion fused with West African textile patterns and beadwork, Campbell Addy bold aesthetic, saturated palette, dramatic studio lighting, celebratory cultural richness, striking contemporary portraiture"

- **`image_size`** (`ImageSize | Enum`, _optional_):
  The size of the generated image. Total pixels must be between 1024x1024 and 2048x2048, with aspect ratio between 1/16 and 16. Default value: `auto_2K`
  - Default: `"auto_2K"`
  - One of: ImageSize | Enum
  - Examples: "auto_2K"

- **`num_images`** (`integer`, _optional_):
  Number of separate model generations to run with the prompt. Default value: `1`
  - Default: `1`
  - Range: `1` to `6`

- **`output_format`** (`OutputFormatEnum`, _optional_):
  The file format of the generated image. Default value: `"jpeg"`
  - Default: `"jpeg"`
  - Options: `"jpeg"`, `"png"`
  - Examples: "jpeg"

- **`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`

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



**Required Parameters Example**:

```json
{
  "prompt": "Vibrant editorial of a model in contemporary fashion fused with West African textile patterns and beadwork, Campbell Addy bold aesthetic, saturated palette, dramatic studio lighting, celebratory cultural richness, striking contemporary portraiture"
}
```

**Full Example**:

```json
{
  "prompt": "Vibrant editorial of a model in contemporary fashion fused with West African textile patterns and beadwork, Campbell Addy bold aesthetic, saturated palette, dramatic studio lighting, celebratory cultural richness, striking contemporary portraiture",
  "image_size": "auto_2K",
  "num_images": 1,
  "output_format": "jpeg",
  "enable_safety_checker": true
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<Image>`, _required_):
  Generated images.
  - Array of Image
  - Examples: [{"url":"https://v3b.fal.media/files/b/0aa16df4/ktjX_-2KKAw7bCTQgopGV_5b49dc459dfe484fbb1218fce0e24bc7.png"}]



**Example Response**:

```json
{
  "images": [
    {
      "url": "https://v3b.fal.media/files/b/0aa16df4/ktjX_-2KKAw7bCTQgopGV_5b49dc459dfe484fbb1218fce0e24bc7.png"
    }
  ]
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/bytedance/seedream/v5/pro/text-to-image \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "Vibrant editorial of a model in contemporary fashion fused with West African textile patterns and beadwork, Campbell Addy bold aesthetic, saturated palette, dramatic studio lighting, celebratory cultural richness, striking contemporary portraiture"
   }'
```

### 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(
    "bytedance/seedream/v5/pro/text-to-image",
    arguments={
        "prompt": "Vibrant editorial of a model in contemporary fashion fused with West African textile patterns and beadwork, Campbell Addy bold aesthetic, saturated palette, dramatic studio lighting, celebratory cultural richness, striking contemporary portraiture"
    },
    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("bytedance/seedream/v5/pro/text-to-image", {
  input: {
    prompt: "Vibrant editorial of a model in contemporary fashion fused with West African textile patterns and beadwork, Campbell Addy bold aesthetic, saturated palette, dramatic studio lighting, celebratory cultural richness, striking contemporary portraiture"
  },
  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/bytedance/seedream/v5/pro/text-to-image)
- [API Documentation](https://fal.ai/models/bytedance/seedream/v5/pro/text-to-image/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=bytedance/seedream/v5/pro/text-to-image)

### 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)