Kling V2.6 Text to Video API

kwaivgi/kling-v2.6/text-to-video

Kling 2.6 delivers top-tier text-to-video generation with smooth motion, cinematic visuals, strong prompt adherence, and native audio for ready-to-share clips. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Examples

Kling V2.6 Text to Video API example 1

Parameters

NameTypeDefaultConstraintsDescription
prompt *Prompttextarea≤ 5000 charsThe positive prompt for the generation.
negative_promptNegative Prompttextarea≤ 5000 charsThe negative prompt for the generation.
resolutionGeneration Modeselect720P720P | 1080P
aspect_ratioAspect Ratioselect1:11:1 | 9:16 | 16:9The aspect ratio of the generated media.
durationDurationslider53 ~ 15 · step 1The duration of the generated media in seconds.
soundSoundbooleanfalseWhether sound is generated simultaneously when generating a video. When enabling sound, use 1080P resolution (sound is not supported at 720P standard mode).
cfg_scaleCfg Scalenumber0.5Flexibility in video generation; The higher the value, the lower the model’s degree of flexibility, and the stronger the relevance to the user’s prompt.
multi_shotMulti ShotbooleanWhether to generate multi-shot video When true: the prompt parameter is invalid. When false: the shot_type and multi_prompt parameters are invalid
shot_typeShot Typeselectcustomize | intelligenceShot type for the generation.
multi_promptMulti Promptarray<object>List of multi-prompt elements for the generation.
durationDurationnumber5The duration of this shot in seconds.
promptPrompttextThe prompt for this shot.

API

Call this model through one unified REST API. Get a key on the API Keys page.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-v2.6/text-to-video" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "prompt": "A futuristic cityscape at sunset with flying cars and glowing neon signs, cinematic style",
    "negative_prompt": "Blurry visuals, low-quality textures, unrealistic lighting",
    "resolution": "720P",
    "aspect_ratio": "16:9",
    "duration": 10,
    "sound": false,
    "cfg_scale": 0.7,
    "shot_type": "intelligence"
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"
Python
import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-v2.6/text-to-video",
    headers=HEADERS,
    json={
        "input": {
            "prompt": "A futuristic cityscape at sunset with flying cars and glowing neon signs, cinematic style",
            "negative_prompt": "Blurry visuals, low-quality textures, unrealistic lighting",
            "resolution": "720P",
            "aspect_ratio": "16:9",
            "duration": 10,
            "sound": False,
            "cfg_scale": 0.7,
            "shot_type": "intelligence"
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))
JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-v2.6/text-to-video", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "prompt": "A futuristic cityscape at sunset with flying cars and glowing neon signs, cinematic style",
      "negative_prompt": "Blurry visuals, low-quality textures, unrealistic lighting",
      "resolution": "720P",
      "aspect_ratio": "16:9",
      "duration": 10,
      "sound": false,
      "cfg_scale": 0.7,
      "shot_type": "intelligence"
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

Documentation

Kling V2.6 Text-to-Video API

Seamless Text-to-Video Generation with Audio Integration

Kling V2.6 is a state-of-the-art text-to-video model that delivers cinematic visuals, smooth motion, and native audio generation for ready-to-share clips. With strong prompt adherence and no cold starts, this model is optimized for developers seeking high-quality outputs at affordable pricing.


🚀 Key Features

  • Joint Audio-Video Generation: Produces synchronized visuals and sound in a single pass, ensuring cohesive outputs.
  • Cinematic Motion: Smooth camera movements and character actions that align perfectly with your prompts.
  • Scene-Driven Sound Design: Generates ambient noise, sound effects, and voiceovers tailored to the described scene.
  • Prompt Precision: Strong adherence to user prompts, with adjustable flexibility via cfg_scale.
  • Ready-to-Use API: No cold starts and fast inference for seamless integration into workflows.

🛠️ Technical Specifications

ParameterTypeDefaultRangeDescription
promptstring--Positive prompt describing the scene, characters, and audio mood.
negative_promptstring--Negative prompt specifying elements to exclude (e.g., watermark, noise).
cfg_scalenumber0.50.00 ~ 1.00Guidance strength: higher values increase adherence to the prompt.
soundbooleantruetrue/falseToggles audio generation (voice, ambience, SFX).
aspect_ratiostring1:11:1, 9:16, 16:9Aspect ratio of the output video.
durationinteger55, 10Duration of the generated video in seconds.

💰 Pricing

Attribute720P1080P
Silent0.04200.0700
With Sound0.1400

💡 Best Use Cases

  • Social Media Ads: Create engaging launch teasers with built-in narration and sound design.
  • Film Previsualization: Generate animatics or short story beats with synchronized visual and audio timing.
  • Product Explainers: Deliver clear, narrated videos showcasing product features and benefits.
  • Cinematic Shorts: Produce high-quality posts with music, ambience, and motion from a single prompt.

🔗 Related Models

  • Kling V2.6 Motion Control: Enhanced control over camera and character motion.

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