klingai-style-transfer

# 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, vib...