# Seedream 5.5 Text to Image

> Seedream 5.5 generates images from text prompts with configurable dimensions, batch generation, and support for transparent PNG backgrounds.


## Overview

- **Endpoint**: `https://fal.run/bytedance/seedream/v5.5/text-to-image`
- **Model ID**: `bytedance/seedream/v5.5/text-to-image`
- **Category**: text-to-image
- **Kind**: inference
**Tags**: image-generation, text-to-image, transparent-background



## Pricing

Billing is calculated per output image. Each image costs **$0.03** at **1K** or **1.5K**, or **$0.0405** at **2K**. For custom dimensions, the rate is **$0.03** up to and including **2,610,000 pixels**, and **$0.0405** above that area. For example, **2** output images cost **$0.06** at 1.5K or **$0.081** at 2K.

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 921600 and 4624220, 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: `"png"`
  - Default: `"png"`
  - Options: `"jpeg"`, `"png"`
  - Examples: "png"

- **`watermark`** (`boolean`, _optional_):
  Whether to add the provider's visible watermark.
  - Default: `false`

- **`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. Disabling it requires account authorization; unauthorized requests are always checked. Default value: `true`
  - Default: `true`
  - Examples: true

- **`background`** (`BackgroundEnum`, _optional_):
  `auto` lets the model choose from the prompt and output format. `transparent` returns an RGBA image and requires `output_format=png`. Default value: `"auto"`
  - Default: `"auto"`
  - Options: `"auto"`, `"opaque"`, `"transparent"`



**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": "png",
  "enable_safety_checker": true,
  "background": "auto"
}
```


### 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/v5.5/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/v5.5/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/v5.5/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);
```


## Deploy your own model

To run your own weights, a fine-tune or a custom pipeline on the GPUs that serve this API, deploy it on fal Serverless. GPUs from H100 (80GB) to B300 (288GB), billed per second; an H100 is $4.50/h list, as low as $2.49/h. Prices, GPU specs and deploy steps: [fal Serverless](https://fal.ai/serverless.md).

## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/bytedance/seedream/v5.5/text-to-image)
- [API Documentation](https://fal.ai/models/bytedance/seedream/v5.5/text-to-image/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=bytedance/seedream/v5.5/text-to-image)

### 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
- [Pricing](https://fal.ai/pricing.md): Model API and Serverless GPU prices
- [fal Serverless](https://fal.ai/serverless.md): Deploy your own models: GPU prices, specs and steps
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`