klingai-image-to-video

# Kling AI Image-to-Video ## Overview Animate static images using the `/v1/videos/image2video` endpoint. Supports motion prompts, camera control, dynamic masks (motion brush), static masks, and tail images for start-to-end transitions. **Endpoint:** `POST https://api.klingai.com/v1/videos/image2video` ## Request Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `model_name` | string | Yes | `kling-v1-5`, `kling-v2-1`, `kling-v2-master`, etc. | | `image` | string | Yes | URL of the source image (JPG, PNG, WebP) | | `prompt` | string | No | Motion description for the animation | | `negative_prompt` | string | No | What to exclude | | `duration` | string | Yes | `"5"` or `"10"` seconds | | `aspect_ratio` | string | No | `"16:9"` default | | `mode` | string | No | `"standard"` or `"professional"` | | `cfg_scale` | float | No | Prompt adherence (0.0-1.0) | | `image_tail` | string | No | End-frame image URL (mutually exclusive with masks/camera) | | `camera_control` | object | No | Camera movement (mutually exclusive with masks/image_tail) | | `static_mask` | string | No | Mask image URL for fixed regions | | `dynamic_masks` | array | No | Motion brush trajectories | | `callback_url` | string | No | Webhook for completion | ## Basic Image-to-Video ```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"] ...