Kling Video

ต่อคำขอ:$0.13216

การสร้างวิดีโอ

ใช้งานเชิงพาณิชย์

ภาพรวม

คุณสมบัติ

ราคา

API

Technical Specifications of `kling_video`

Specification	Details
Model ID	`kling_video`
Category	Video Generation
Primary Capability	Generates videos from text prompts and, depending on workflow, can support image-guided video creation
Input Types	Text prompts, and in some implementations image inputs for image-to-video workflows
Output Type	AI-generated video
Common Use Cases	Short-form creative clips, cinematic concept visualization, marketing content, social media assets, animation prototyping
Strengths	Strong motion quality, visual aesthetics, and prompt adherence
Integration Pattern	API-based request/response workflow through CometAPI
Best For	Developers and teams building automated video generation features into apps, tools, and content pipelines

What is `kling_video`?

kling_video is CometAPI’s platform model identifier for accessing a video generation model designed to create AI-generated videos from natural language instructions. It is suitable for users who want to turn descriptive prompts into visually dynamic clips for creative production, prototyping, storytelling, and media workflows.

This model is especially useful for applications that need automated video generation as part of a broader product experience. Developers can use kling_video to power features such as prompt-to-video creation, concept visualization, ad creative generation, and experimental media tooling, all through a standard API integration flow.

Main features of `kling_video`

Text-to-video generation: Create videos directly from natural language prompts describing scenes, motion, style, subjects, and atmosphere.
Image-guided generation support: In compatible workflows, use reference images to help steer composition, character appearance, or scene structure.
High-quality motion synthesis: Well-suited for generating clips with more fluid movement and stronger visual continuity than basic animation pipelines.
Strong prompt adherence: Designed to follow user instructions closely, making it useful for controlled creative generation.
Aesthetic visual output: Helpful for cinematic concepts, polished short clips, and visually engaging marketing or social assets.
Creative workflow automation: Can be embedded into applications that need repeatable video generation without manual editing steps.
API-friendly deployment: Accessible through CometAPI using a consistent developer integration pattern that fits existing AI application stacks.

How to access and integrate

First, register for a CometAPI account and generate your API key from the dashboard. This key is required to authenticate all requests. Store it securely in your server environment and avoid exposing it in client-side code.

Step 2: Send Requests to `kling_video` API

Use CometAPI's Kling-compatible endpoint. For video generation, send a POST request to /kling/v1/videos/text2video (or /kling/v1/videos/image2video for image-to-video).

curl https://api.cometapi.com/kling/v1/videos/text2video \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_API_KEY" \
  -d '{
    "prompt": "A cinematic scene with dramatic lighting.",
    "model_name": "kling-v2-master",
    "aspect_ratio": "16:9",
    "duration": "5"
  }'

Step 3: Retrieve and Verify Results

The API returns a task ID. Poll GET /kling/v1/videos/text2video/{task_id} to check generation status and retrieve the output video URL when complete.

คุณสมบัติสำหรับ Kling Video

สำรวจคุณสมบัติหลักของ Kling Video ที่ออกแบบมาเพื่อเพิ่มประสิทธิภาพและความสะดวกในการใช้งาน ค้นพบว่าความสามารถเหล่านี้สามารถเป็นประโยชน์ต่อโครงการของคุณและปรับปรุงประสบการณ์ของผู้ใช้ได้อย่างไร

ราคาสำหรับ Kling Video

สำรวจราคาที่แข่งขันได้สำหรับ Kling Video ที่ออกแบบมาให้เหมาะสมกับงบประมาณและความต้องการการใช้งานที่หลากหลาย แผนการบริการที่ยืดหยุ่นของเรารับประกันว่าคุณจะจ่ายเฉพาะสิ่งที่คุณใช้เท่านั้น ทำให้สามารถขยายขนาดได้ง่ายเมื่อความต้องการของคุณเพิ่มขึ้น ค้นพบว่า Kling Video สามารถยกระดับโปรเจกต์ของคุณได้อย่างไรในขณะที่ควบคุมต้นทุนให้อยู่ในระดับที่จัดการได้

Version	Quality	Duration	Price
v1	std	5s	$0.13
v1	std	10s	$0.26
v1	pro	5s	$0.46
v1	pro	10s	$0.92
v1.5/v1.6	std	5s	$0.26
v1.5/v1.6	std	10s	$0.53
v1.5/v1.6	pro	5s	$0.46
v1.5/v1.6	pro	10s	$0.92
v2-master	-	5s	$1.32
v2-master	-	10s	$2.64
v2-1	std	5s	$0.26
v2-1	std	10s	$0.53
v2-1	pro	5s	$0.46
v2-1	pro	10s	$0.92
v2-1-master	-	5s	$1.32
v2-1-master	-	10s	$2.64
v2-5-turbo	pro	5s	$0.33
v2-5-turbo	pro	10s	$0.66
v2-6 (no native audio)	pro	5s	$0.33
v2-6 (no native audio)	pro	10s	$0.67
v2-6 (native audio, no voice control)	pro	5s	$0.67
v2-6 (native audio, no voice control)	pro	10s	$1.33
v2-6 (native audio, with voice control)	pro	5s	$0.80
v2-6 (native audio, with voice control)	pro	10s	$1.60

โค้ดตัวอย่างและ API สำหรับ Kling Video

เข้าถึงโค้ดตัวอย่างที่ครอบคลุมและทรัพยากร API สำหรับ Kling Video เพื่อปรับปรุงกระบวนการผสานรวมของคุณ เอกสารประกอบที่มีรายละเอียดของเราให้คำแนะนำทีละขั้นตอน ช่วยให้คุณใช้ประโยชน์จากศักยภาพเต็มรูปแบบของ Kling Video ในโครงการของคุณ

Python
JavaScript
Curl

import requests
import os

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/kling/v1"

headers = {
    "Authorization": f"Bearer {COMETAPI_KEY}",
    "Content-Type": "application/json",
}

# ============================================================
# Step 1: Create Video Task
# ============================================================
print("Step 1: Creating video task...")

create_payload = {
    "prompt": "A happy scene of a vacation on the beach.",
    "model_name": "kling-v2-6",
}

create_response = requests.post(
    f"{BASE_URL}/videos/text2video", headers=headers, json=create_payload
)

create_result = create_response.json()
print(f"Create response: {create_result}")

# Extract task ID from the response
task_id = create_result.get("data", {}).get("task_id")
if not task_id:
    print("Error: Failed to get task_id from response")
    exit(1)

print(f"Task ID: {task_id}")

# ============================================================
# Step 2: Query Task Status
# ============================================================
print("
Step 2: Querying task status...")

query_response = requests.get(
    f"{BASE_URL}/videos/text2video/{task_id}", headers=headers
)

query_result = query_response.json()
print(f"Query response: {query_result}")

# Check task status
task_status = query_result.get("data", {}).get("status") or query_result.get(
    "data", {}
).get("task_status")
print(f"Task status: {task_status}")

Python Code Example

import requests
import os

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/kling/v1"

headers = {
    "Authorization": f"Bearer {COMETAPI_KEY}",
    "Content-Type": "application/json",
}

# ============================================================
# Step 1: Create Video Task
# ============================================================
print("Step 1: Creating video task...")

create_payload = {
    "prompt": "A happy scene of a vacation on the beach.",
    "model_name": "kling-v2-6",
}

create_response = requests.post(
    f"{BASE_URL}/videos/text2video", headers=headers, json=create_payload
)

create_result = create_response.json()
print(f"Create response: {create_result}")

# Extract task ID from the response
task_id = create_result.get("data", {}).get("task_id")
if not task_id:
    print("Error: Failed to get task_id from response")
    exit(1)

print(f"Task ID: {task_id}")

# ============================================================
# Step 2: Query Task Status
# ============================================================
print("\nStep 2: Querying task status...")

query_response = requests.get(
    f"{BASE_URL}/videos/text2video/{task_id}", headers=headers
)

query_result = query_response.json()
print(f"Query response: {query_result}")

# Check task status
task_status = query_result.get("data", {}).get("status") or query_result.get(
    "data", {}
).get("task_status")
print(f"Task status: {task_status}")

JavaScript Code Example

// Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
const api_key = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const base_url = "https://api.cometapi.com/kling/v1";

const headers = {
  "Authorization": `Bearer ${api_key}`,
  "Content-Type": "application/json",
};

async function main() {
  // ============================================================
  // Step 1: Create Video Task
  // ============================================================
  console.log("Step 1: Creating video task...");

  const createPayload = {
    prompt: "A happy scene of a vacation on the beach.",
    model_name: "kling-v2-6"
  };

  const createResponse = await fetch(`${base_url}/videos/text2video`, {
    method: "POST",
    headers: headers,
    body: JSON.stringify(createPayload)
  });

  const createResult = await createResponse.json();
  console.log("Create response:", JSON.stringify(createResult, null, 2));

  // Extract task ID from the response
  const taskId = createResult?.data?.task_id;
  if (!taskId) {
    console.log("Error: Failed to get task_id from response");
    process.exit(1);
  }

  console.log(`Task ID: ${taskId}`);

  // ============================================================
  // Step 2: Query Task Status
  // ============================================================
  console.log("\nStep 2: Querying task status...");

  const queryResponse = await fetch(`${base_url}/videos/text2video/${taskId}`, {
    method: "GET",
    headers: headers
  });

  const queryResult = await queryResponse.json();
  console.log("Query response:", JSON.stringify(queryResult, null, 2));

  // Check task status
  const taskStatus = queryResult?.data?.status || queryResult?.data?.task_status;
  console.log(`Task status: ${taskStatus}`);
}

main();

Curl Code Example

#!/bin/bash

# Get your CometAPI key from https://api.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

BASE_URL="https://api.cometapi.com/kling/v1"

# ============================================================
# Step 1: Create Video Task
# ============================================================
echo "Step 1: Creating video task..."

CREATE_RESPONSE=$(curl -s --location --request POST "${BASE_URL}/videos/text2video" \
  --header "Authorization: Bearer $COMETAPI_KEY" \
  --header "Content-Type: application/json" \
  --data-raw '{
    "prompt": "A happy scene of a vacation on the beach.",
    "model_name": "kling-v2-6"
  }')

echo "Create response: $CREATE_RESPONSE"

# Extract task_id using jq (install with: brew install jq)
TASK_ID=$(echo "$CREATE_RESPONSE" | jq -r '.data.task_id')

if [ "$TASK_ID" == "null" ] || [ -z "$TASK_ID" ]; then
  echo "Error: Failed to get task_id from response"
  exit 1
fi

echo "Task ID: $TASK_ID"

# ============================================================
# Step 2: Query Task Status
# ============================================================
echo ""
echo "Step 2: Querying task status..."

QUERY_RESPONSE=$(curl -s --location --request GET "${BASE_URL}/videos/text2video/${TASK_ID}" \
  --header "Authorization: Bearer $COMETAPI_KEY")

echo "Query response:"
echo "$QUERY_RESPONSE" | jq .

# Check task status
TASK_STATUS=$(echo "$QUERY_RESPONSE" | jq -r '.data.status // .data.task_status')
echo "Task status: $TASK_STATUS"