# Kling Image V2.1

> Run Kling Image V2.1 by klingai online or via API. $0.014-$0.056/image, t2i: $0.014/image, i2i: $0.028/image, multi: $0.056/image, no setup.

**URL:** https://inference.sh/apps/klingai/image-v2-1
**Last updated:** 2026-08-07

---

Kling Image V2.1 (Kolors V2.1) - text-to-image and multi-image reference generation. Combine multiple images for complex compositions.

- app: `klingai/image-v2-1`
- maker: [klingai](https://inference.sh/apps/klingai.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)
- price: $0.014-$0.056/image, t2i: $0.014/image, i2i: $0.028/image, multi: $0.056/image
- runs via: api, javascript and python sdk, belt cli, mcp

## image-v2-1 API Guide

### About
kling image v2.1 (kolors v2.1) - text-to-image and multi-image reference generation. combine multiple images for complex compositions.

### 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": "klingai/image-v2-1@5h9hvaka",
        "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": "klingai/image-v2-1@5h9hvaka",
        "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": "klingai/image-v2-1@5h9hvaka",
    "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 description. Max 2500 chars.
- **image** (string): Reference image for multi-image generation.
- **negative_prompt** (string): What to avoid.
- **aspect_ratio** (string): Output aspect ratio.
- **n** (integer): Number of images (1-9).

#### Output
- **image** (string): Generated 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 Kling Image V2.1 cost?

$0.014-$0.056/image, t2i: $0.014/image, i2i: $0.028/image, multi: $0.056/image. you pay per run from your inference shell credits. no subscription is required.

### how do I run Kling Image V2.1 via api?

call klingai/image-v2-1 with the javascript or python sdk, the rest api, or `belt app run klingai/image-v2-1` from a terminal. the api reference on this page lists every input.

### who makes Kling Image V2.1?

Kling Image V2.1 is made by klingai and runs on inference shell. every klingai app is listed at https://inference.sh/apps/klingai.

### can my agent use Kling Image V2.1?

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 Kling Image V2.1?

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.