# Kling Image V3

> Run Kling Image V3 by klingai online or via API. $0.0035/image, no setup.

**URL:** https://inference.sh/apps/klingai/image-v3
**Last updated:** 2026-09-21

---

Kling Image V3 (Kolors V3.0) - latest image generation model with 1K/2K resolution support. Highest quality text-to-image.

- app: `klingai/image-v3`
- maker: [klingai](https://inference.sh/apps/klingai.md)
- category: [image](https://inference.sh/apps/category/image.md)
- input → output: text → image
- tasks: [text to image](https://inference.sh/apps/tag/text-to-image.md)
- price: $0.0035/image
- runs via: api, javascript and python sdk, belt cli, mcp

## image-v3 API Guide

### About
kling image v3 (kolors v3.0) - latest image generation model with 1k/2k resolution support. highest quality text-to-image.

### Get an API Key
Create one in [settings → api keys](https://app.inference.sh/settings/keys). The examples read it from `INFERENCE_API_KEY`.

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

### 1. Calling the API

#### Install the Client

```bash
pip install inferencesh
```

#### Run and Get Result
Submit a request and wait for the final result.

```python
import os
from inferencesh import inference

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

## version @0xycdy21 pinned
result = client.run({
        "app": "klingai/image-v3@0xycdy21",
        "input": {
            "prompt": "prompt"
        }
    })

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

#### Stream Live Updates
Get real-time progress updates as the task runs.

```python
import os
from inferencesh import inference

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

## version @0xycdy21 pinned
## stream=True yields updates as they arrive
for update in client.run({
        "app": "klingai/image-v3@0xycdy21",
        "input": {
            "prompt": "prompt"
        }
    }, stream=True):
    if update.get("progress"):
        print(f"progress: {update['progress']}%")
    if update.get("output"):
        print(f"output: {update['output']}")
```

#### Run in the Background
Start the task and get its id back right away, then check on it with `GET /tasks/{id}`. It is done when `status` is 10 (completed), 11 (failed) or 12 (cancelled).

```python
import os
from inferencesh import inference, TaskStatus

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

## returns as soon as the task is created
task = client.run({
        "app": "klingai/image-v3@0xycdy21",
        "input": {
            "prompt": "prompt"
        }
    }, wait=False)

## later: read its current state
state = client.tasks.get(task["id"]).data
if state["status"] == TaskStatus.COMPLETED:
    print(state["output"])
```

### 2. Files

#### Automatic Upload

```python
## local file paths are automatically uploaded
result = client.run({
    "app": "klingai/image-v3@0xycdy21",
    "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/...
```

### 3. Schema

#### Input
- **prompt** (string) *required*: Text description. Max 2500 chars.
- **negative_prompt** (string): What to avoid.
- **aspect_ratio** (string): Output aspect ratio.
- **resolution** (string): Output resolution. 2k doubles the cost.
- **n** (integer): Number of images (1-9).

#### Output
- **image** (string): Generated image.

## other image apps

- [Seedream 5.5](https://inference.sh/apps/bytedance/seedream-5-5.md): $0.020 per 1K/1.5K image, $0.035 per 2K image, plus $0.008 per reference image
- [MiniMax H3 Image](https://inference.sh/apps/minimax/h3-image.md): $2.30/M text in, $1.50/M image in, $3.80/M image out (token-based)
- [GPT Image 2.6 Flare](https://inference.sh/apps/openai/gpt-image-2-6-flare.md): $30.00/M output, $5.00/M text input, $8.00/M image input, $0.10/M SVG input, $0.50/M SVG output
- [GPT Image 2.6 Sunburst](https://inference.sh/apps/openai/gpt-image-2-6-sunburst.md): $30.00/M out, $5.00/M text in, $8.00/M img in; SVG $0.10/$0.50/M in/out
- [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

## faq

### how much does Kling Image V3 cost?

$0.0035/image. you pay per run from your inference shell credits. no subscription is required.

### how do I run Kling Image V3 via api?

call klingai/image-v3 with the javascript or python sdk, the rest api, or `belt app run klingai/image-v3` from a terminal. the api reference on this page lists every input.

### who makes Kling Image V3?

Kling Image V3 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 V3?

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 V3?

other image apps on inference shell include Seedream 5.5, MiniMax H3 Image, GPT Image 2.6 Flare, GPT Image 2.6 Sunburst. they run through the same api, so switching is a one-line change.