# Qwen-Image-Edit

> Run Qwen-Image-Edit by infsh online or via API. Pay per run, no setup.

**URL:** https://inference.sh/apps/infsh/qwen-image-edit
**Last updated:** 2025-09-12

---

Advanced image editing that excels at rendering and manipulating text within images, allowing for precise changes to appearance and meaning.

- app: `infsh/qwen-image-edit`
- maker: [infsh](https://inference.sh/apps/infsh.md)
- category: [image](https://inference.sh/apps/category/image.md)
- runs via: api, javascript and python sdk, belt cli, mcp

## qwen-image-edit API Guide

### About
advanced image editing that excels at rendering and manipulating text within images, allowing for precise changes to appearance and meaning.

### 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/qwen-image-edit@7kfm7f0p",
        "input": {
            "prompt": "prompt",
            "image": {}
        }
    })

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/qwen-image-edit@7kfm7f0p",
        "input": {
            "prompt": "prompt",
            "image": {}
        }
    }, 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/qwen-image-edit@7kfm7f0p",
    "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*: The text prompt describing the desired edits to apply to the input image. Supports both English and Chinese text rendering.
- **image** (object) *required*: Input image to edit. This field is required for image editing.
- **negative_prompt** (string): The negative prompt to guide what not to include in the image.
- **width** (integer): The width in pixels of the generated image.
- **height** (integer): The height in pixels of the generated image.
- **num_inference_steps** (integer): The number of inference steps for generation quality.
- **true_cfg_scale** (number): The CFG scale for generation guidance.
- **seed** (integer): The seed for reproducible generation.
- **language** (string): Language for prompt optimization (English or Chinese).
- **cache_threshold** (number): First-block cache threshold for transformer (0 disables caching).
- **use_unipcm_flow_matching** (boolean): If true, switch scheduler to UniPCM flow matching configuration.
- **loras** (array): List of LoRA configs to apply

#### Output
- **image_output** (object): The edited 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 Qwen-Image-Edit cost?

you pay per run from your inference shell credits, and the app shows its cost before each run. no subscription is required.

### how do I run Qwen-Image-Edit via api?

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

### who makes Qwen-Image-Edit?

Qwen-Image-Edit is made by infsh and runs on inference shell. every infsh app is listed at https://inference.sh/apps/infsh.

### can my agent use Qwen-Image-Edit?

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 Qwen-Image-Edit?

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.