klingai-style-transfer

What this skill does

# Kling AI Style Transfer & Effects

## Overview

Apply artistic styles through prompt engineering, use the Effects API for pre-built visual transformations, and leverage Kolors for image-based style references. Available on v1.6+ models.

## Style via Prompt Engineering

The most direct approach -- include style descriptors in your prompt:

```python
import jwt, time, os, requests

BASE = "https://api.klingai.com/v1"

def get_headers():
    ak, sk = os.environ["KLING_ACCESS_KEY"], os.environ["KLING_SECRET_KEY"]
    token = jwt.encode(
        {"iss": ak, "exp": int(time.time()) + 1800, "nbf": int(time.time()) - 5},
        sk, algorithm="HS256", headers={"alg": "HS256", "typ": "JWT"}
    )
    return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}

# Style: Studio Ghibli watercolor
response = requests.post(f"{BASE}/videos/text2video", headers=get_headers(), json={
    "model_name": "kling-v2-6",
    "prompt": "A cozy cottage in a meadow, hand-painted watercolor style, "
              "soft pastel colors, Studio Ghibli aesthetic, gentle breeze",
    "negative_prompt": "photorealistic, harsh lighting, dark, gritty",
    "duration": "5",
    "mode": "professional",
    "cfg_scale": 0.7,  # higher = stricter prompt adherence
})
```

## Style Prompt Recipes

| Style | Prompt Keywords | cfg_scale |
|-------|----------------|-----------|
| Cinematic | "cinematic lighting, anamorphic lens, film grain, 35mm" | 0.5-0.6 |
| Anime | "anime style, cel-shaded, vibrant colors, clean lines" | 0.6-0.7 |
| Watercolor | "watercolor painting, soft edges, pastel, hand-painted" | 0.7-0.8 |
| Oil painting | "oil painting, thick brushstrokes, impasto, canvas texture" | 0.7-0.8 |
| Neon/cyberpunk | "neon lights, cyberpunk, rain, dark city, purple and blue" | 0.5-0.6 |
| Vintage film | "vintage 8mm film, warm tones, light leaks, soft focus" | 0.6-0.7 |
| Pixel art | "pixel art style, retro 16-bit, limited palette" | 0.8-0.9 |
| Photorealistic | "photorealistic, 4K, natural lighting, DSLR quality" | 0.4-0.5 |

## Effects API

The Effects API applies pre-built transformations to existing images. Available on v1.6+.

**Endpoint:** `POST https://api.klingai.com/v1/videos/effects`

```python
# Apply an effect to an image
response = requests.post(f"{BASE}/videos/effects", headers=get_headers(), json={
    "model_name": "kling-v1-6",
    "image": "https://example.com/portrait.jpg",
    "effect_type": "hug",           # effect to apply
    "duration": "5",
    "mode": "standard",
})

task_id = response.json()["data"]["task_id"]
# Poll for result as usual
```

## Available Effects

| Effect | Description |
|--------|-------------|
| `hug` | Embrace/hug motion between subjects |
| `kiss` | Kiss animation between subjects |
| `heart` | Heart gesture or heart-shaped framing |
| `expand` | Zoom/expand outward effect |
| `squish` | Compression/squish animation |

## Kolors Image Restyle

Use Kolors to restyle images before converting to video:

```python
# Generate styled image with Kolors
image_response = requests.post(f"{BASE}/images/kolors", headers=get_headers(), json={
    "prompt": "A cyberpunk city street, neon signs, rain-slicked roads",
    "aspect_ratio": "16:9",
    "imageCount": 1,
})

# Then use the generated image as input for I2V
image_url = image_response.json()["data"]["images"][0]["url"]
video_response = requests.post(f"{BASE}/videos/image2video", headers=get_headers(), json={
    "model_name": "kling-v2-1",
    "image": image_url,
    "prompt": "Camera slowly pushes forward through the rain, neon reflections",
    "duration": "5",
    "mode": "professional",
})
```

## cfg_scale Tuning

The `cfg_scale` parameter (0.0-1.0) controls how strictly the model follows your prompt:

| cfg_scale | Effect |
|-----------|--------|
| 0.0-0.3 | More creative freedom, may drift from prompt |
| 0.4-0.5 | Balanced (default), natural results |
| 0.6-0.7 | Stronger prompt adherence |
| 0.8-1.0 | Very strict, may reduce quality/naturalness |

**For style transfer:** Use 0.6-0.8 to ensure the style keywords are respected.

## Style Consistency Across Clips

```python
# Use a consistent style template for all clips in a project
STYLE_TEMPLATE = {
    "suffix": ", cinematic lighting, 35mm film grain, warm color grading, "
              "anamorphic lens flare, shallow depth of field",
    "negative": "cartoon, anime, painting, illustration, CGI, digital art",
    "cfg_scale": 0.6,
    "model": "kling-v2-6",
    "mode": "professional",
}

def styled_generation(scene_prompt: str):
    return requests.post(f"{BASE}/videos/text2video", headers=get_headers(), json={
        "model_name": STYLE_TEMPLATE["model"],
        "prompt": scene_prompt + STYLE_TEMPLATE["suffix"],
        "negative_prompt": STYLE_TEMPLATE["negative"],
        "cfg_scale": STYLE_TEMPLATE["cfg_scale"],
        "duration": "5",
        "mode": STYLE_TEMPLATE["mode"],
    })
```

## Resources

- [Effects API](https://app.klingai.com/global/dev/document-api/apiReference/model/videoEffects)
- [Kolors API](https://app.klingai.com/global/dev/document-api/apiReference/model/imageGeneration)
- [Developer Portal](https://app.klingai.com/global/dev)