Kling 3.0 Pro: Top-tier image-to-video with cinematic visuals, fluid motion, and native audio generation, with custom element support.
pip install requestsimport requests
response = requests.post(
"https://api.runflow.io/v1/run/kling-video/v3/pro/image-to-video",
headers={"Authorization": "Bearer RUNFLOW_API_KEY"},
json={
"prompt": "Gentle head turn with a warm smile, hair blowing slightly in a soft breeze, c...",
"image_url": "https://public.runflow.io/images/models/_base/portrait-woman-studio.png"
},
)
data = response.json()
print(data["video"]["url"])| Parameter | Type | Description |
|---|---|---|
| prompt | string | Text prompt for video generation. Either prompt or multi_prompt must be provided, but not both. |
| voice_ids | string | Optional Voice IDs for video generation. Reference voices in your prompt with <<<voice_1>>> and <<<voice_2>>> (maximum 2 voices per task). Get voice IDs from the kling video create-voice endpoint: https://fal.ai/models/fal-ai/kling-video/create-voice |
| elements | string | Elements (characters/objects) to include in the video. Each example can either be an image set (frontal + reference images) or a video. Reference in prompt as @Element1, @Element2, etc. |
| multi_prompt | array | List of prompts for multi-shot video generation. If provided, divides the video into multiple shots. |
| generate_audio | boolean | Whether to generate native audio for the video. Supports Chinese and English voice output. Other languages are automatically translated to English. For English speech, use lowercase letters; for acronyms or proper nouns, use uppercase. |
| duration | string | The duration of the generated video in seconds |
| shot_type | string | The type of multi-shot video generation. Required when multi_prompt is provided. |
| start_image_url | image | URL of the image to be used for the video |
| end_image_url | image | URL of the image to be used for the end of the video |
| negative_prompt | string | |
| cfg_scale | number | The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt. |
| Field | Type | Description |
|---|---|---|
| video | string | The generated video |
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