| name | klingai-style-transfer |
| description | Apply artistic styles and visual effects to Kling AI video generation. Use when creating
stylized content or using effects API. Trigger with phrases like 'klingai style', 'kling ai effects',
'klingai artistic video', 'stylize klingai video'.
|
| allowed-tools | Read, Write, Edit, Bash(npm:*), Grep |
| version | 1.18.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","kling-ai","style-transfer","effects"] |
| compatibility | Designed for Claude Code |
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:
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"}
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,
})
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
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",
"duration": "5",
"mode": "standard",
})
task_id = response.json()["data"]["task_id"]
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:
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,
})
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
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
