# Seedream 5.0 Pro

> Run Seedream 5.0 Pro by bytedance online or via API. From $0.045 per image, no setup.

**URL:** https://inference.sh/apps/bytedance/seedream-5-pro
**Last updated:** 2026-07-09

---

ByteDance's flagship Seedream 5.0 Pro image model via BytePlus ARK API. Precision creation and editing with pixel-level regional edits, intelligent layer understanding, complex infographic generation, multi-reference blending (up to 10 images), and native text rendering in 14 languages.

- app: `bytedance/seedream-5-pro`
- maker: [bytedance](https://inference.sh/apps/bytedance.md)
- category: [image](https://inference.sh/apps/category/image.md)
- input → output: text → image, image → image
- tasks: [text to image](https://inference.sh/apps/tag/text-to-image.md), [image to image](https://inference.sh/apps/tag/image-to-image.md), [image editing](https://inference.sh/apps/tag/image-editing.md)
- price: $0.045-$0.09/image, <=2.36MP: $0.045, >2.36MP: $0.09
- runs via: api, javascript and python sdk, belt cli, mcp

## seedream-5-pro API Guide

### About
bytedance's flagship seedream 5.0 pro image model via byteplus ark api. precision creation and editing with pixel-level regional edits, intelligent layer understanding, complex infographic generation, multi-reference blending (up to 10 images), and native text rendering in 14 languages.

### 1. Calling the API

#### Install the Client

```bash
pip install inferencesh
```

#### Setup Your API Key
Set `INFERENCE_API_KEY` as an environment variable. Get your key from settings → api keys.

```bash
export INFERENCE_API_KEY="inf_your_key"
```

#### Run and Get Result

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])


result = client.run({
        "app": "bytedance/seedream-5-pro@1py75yr2",
        "input": {
            "prompt": "A detailed infographic explaining the water cycle, clean editorial design, labeled arrows, soft color palette"
        }
    })

print(result["output"])
```

#### Stream Live Updates

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])


## stream=True yields updates as they arrive
for update in client.run({
        "app": "bytedance/seedream-5-pro@1py75yr2",
        "input": {
            "prompt": "A detailed infographic explaining the water cycle, clean editorial design, labeled arrows, soft color palette"
        }
    }, stream=True):
    if update.get("progress"):
        print(f"progress: {update['progress']}%")
    if update.get("output"):
        print(f"output: {update['output']}")
```

### 2. Authentication
The API uses API keys for authentication. See the authentication docs for detailed setup instructions.

### 3. Files

#### Automatic Upload

```python
## local file paths are automatically uploaded
result = client.run({
    "app": "bytedance/seedream-5-pro@1py75yr2",
    "input": {
        "image": "/path/to/local/image.png",  # detected & uploaded
        "audio": "https://example.com/audio.mp3",  # url passed through
    }
})
```

#### Manual Upload

```python
## upload and get a hosted URL
file = client.files.upload("/path/to/file.png")
print(file.uri)  # https://cloud.inference.sh/...
```

### 4. Schema

#### Input
- **prompt** (string) *required*: Text prompt describing the image to generate or the edit to perform. Supports complex instructions: infographics, precise regional edits, layer-aware design, and text rendering in 14 languages.
- **images** (array): Optional reference images for image editing or multi-reference generation. Up to 10 images supported.
- **size** (string): Output image resolution. 1K or 2K.
- **aspect_ratio** (string): Output image aspect ratio.
- **output_format** (string): Output image format (png or jpeg).
- **watermark** (boolean): Whether to add a watermark to the generated image.

#### Output
- **image** (string): The generated image file.

## other image apps

- [Gemini Nano Banana 2.1](https://inference.sh/apps/google/gemini-nano-banana-2-1.md): $1.50/M input, $0.0336–$0.1134/image (1K–4K), +$0.014/query Google Search
- [Grok Imagine Image 2.0](https://inference.sh/apps/xai/grok-imagine-image-2-0.md): $0.04/img low 1k, $0.06/img low 2k, $0.06/img med 1k, $0.08/img med 2k; $0.01/source img (edits)
- [GPT Image 2.5 Sunburst](https://inference.sh/apps/openai/gpt-image-2-5-sunburst.md): $0.006-$0.21 per 1024x1024 image: low $0.006, medium $0.013, high $0.053, xhigh $0.094, max $0.21. Larger sizes cost more; edits add ~$0.008 per reference image.
- [GPT Image 2.5 Flare](https://inference.sh/apps/openai/gpt-image-2-5-flare.md): $0.006-$0.21/image at 1024x1024: low $0.0059, medium $0.0132, high $0.0527, xhigh $0.0937, max $0.2107. Larger sizes cost more; edits add ~$0.0083 per reference image.
- [Image Resize & Crop](https://inference.sh/apps/eval/resize.md): from $0.00000277/sec

## faq

### how much does Seedream 5.0 Pro cost?

$0.045-$0.09/image, <=2.36MP: $0.045, >2.36MP: $0.09. you pay per run from your inference shell credits. no subscription is required.

### how do I run Seedream 5.0 Pro via api?

call bytedance/seedream-5-pro with the javascript or python sdk, the rest api, or `belt app run bytedance/seedream-5-pro` from a terminal. the api reference on this page lists every input.

### who makes Seedream 5.0 Pro?

Seedream 5.0 Pro is made by bytedance and runs on inference shell. every bytedance app is listed at https://inference.sh/apps/bytedance.

### can my agent use Seedream 5.0 Pro?

yes. agents call it as a tool through the inference shell mcp server (https://api.inference.sh/mcp), the belt cli or the sdk, and pay per run like you do.

### what are the alternatives to Seedream 5.0 Pro?

other image apps on inference shell include Gemini Nano Banana 2.1, Grok Imagine Image 2.0, GPT Image 2.5 Sunburst, GPT Image 2.5 Flare. they run through the same api, so switching is a one-line change.