# ByteDance USO

> Run ByteDance USO by infsh online or via API. Pay per run, no setup.

**URL:** https://inference.sh/apps/infsh/bytedance-uso
**Last updated:** 2026-07-28

---

A unified image editor that allows users to generate images by combining any subject with any style efficiently, preserving identity and consistency.

- app: `infsh/bytedance-uso`
- maker: [infsh](https://inference.sh/apps/infsh.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: GPU time, billed per millisecond
- runs via: api, javascript and python sdk, belt cli, mcp

## bytedance-uso API Guide

### About
a unified image editor that allows users to generate images by combining any subject with any style efficiently, preserving identity and consistency.

### 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": "infsh/bytedance-uso@23pc0b42",
        "input": {
            "prompt": "prompt"
        }
    })

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": "infsh/bytedance-uso@23pc0b42",
        "input": {
            "prompt": "prompt"
        }
    }, 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": "infsh/bytedance-uso@23pc0b42",
    "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 for image generation
- **content_image** (string): Content reference image for subject/identity-driven generation
- **style_image** (string): Style reference image for style transfer
- **extra_style_image** (string): Extra style reference image (experimental feature)
- **width** (integer): Generation width (512-1536, step 16). If not specified, inferred from input image
- **height** (integer): Generation height (512-1536, step 16). If not specified, inferred from input image
- **num_steps** (integer): Number of inference steps (1-50)
- **guidance** (number): Guidance scale (1.0-5.0)
- **seed** (integer): Random seed (-1 for random)
- **keep_size** (boolean): Keep input image size (for style editing)
- **content_long_size** (integer): Content reference image size (0-1024)

#### Output
- **generated_image** (string): Generated stylized image

## 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 ByteDance USO cost?

GPU time, billed per millisecond. you pay per run from your inference shell credits. no subscription is required.

### how do I run ByteDance USO via api?

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

### who makes ByteDance USO?

ByteDance USO is made by infsh and runs on inference shell. every infsh app is listed at https://inference.sh/apps/infsh.

### can my agent use ByteDance USO?

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 ByteDance USO?

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.