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Kling V3.0 Pro Text to Video | Powerful Text-to-Video

kwaivgi/

Kling 3.0 Pro delivers top-tier text-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and native audio for ready-to-share clips. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

text-to-video
输入

就绪

$0.56每次运行·~17 / $10

下一步:

示例查看全部

Golden hour shot. A young woman with curly hair walking in a field of tall grass turns back to look at the camera and smiles genuinely. The low sun is behind her, creating a beautiful rim light (backlight) on her hair. Dust motes dancing in the light. Handheld camera feel, warm and nostalgic.

相关模型

README

Kling V3.0 Pro Text-to-Video

Kling V3.0 Pro is Kuaishou's premium text-to-video model, delivering the highest visual quality and motion realism in the V3.0 family. Describe any scene — the model generates cinematic video with superior detail, flexible duration from 3 to 15 seconds, multiple aspect ratios, and optional synchronized sound generation.

Why Choose This?

  • V3.0 Pro quality
    The highest visual fidelity and motion realism in the Kling V3.0 family.

  • Flexible duration
    Generate videos from 3 to 15 seconds — any length you need.

  • Aspect ratio control
    Multiple options including 16:9, 9:16, 1:1, and more to fit any platform.

  • Sound generation
    Optional synchronized sound effects generated alongside the video.

  • Negative prompt support
    Specify what you don't want in the video for more precise control.

  • Multi-prompt support
    Chain prompt segments to guide scene transitions and complex scene compositions.

  • Prompt Enhancer
    Built-in tool to automatically improve your descriptions for better results.

Parameters

ParameterRequiredDescription
promptNoText description of the desired scene, motion, camera style, and atmosphere.
negative_promptNoElements to exclude from the video.
durationNoVideo length in seconds. Range: 3–15. Default: 5.
aspect_ratioNoVideo aspect ratio. Default: 16:9.
cfg_scaleNoPrompt guidance strength. Default: 0.5.
soundNoGenerate synchronized sound alongside the video. Default: disabled.
shot_typeNoEditing mode: intelligent (default, auto-determines scope) or customize.
multi_promptNoAdditional prompts for complex scene compositions.

How to Use

  1. Write your prompt — describe the scene, motion, camera movement, and mood in detail. Use the Prompt Enhancer for better results.
  2. Add negative prompt (optional) — specify elements you want to exclude from the output.
  3. Set duration — choose any length from 3 to 15 seconds.
  4. Choose aspect ratio — select the format that fits your platform.
  5. Adjust cfg_scale (optional) — control how closely the output follows your prompt.
  6. Enable sound (optional) — generate synchronized audio alongside the video.
  7. Select shot_type (optional) — use intelligent for automatic scope, or customize for manual control.
  8. Add multi-prompt segments (optional) — click Add Item to guide scene transitions.
  9. Run — submit and download your video.

Pricing

DurationWithout SoundWith Sound
3s$0.336$0.504
5s$0.560$0.840
10s$1.120$1.680
15s$1.680$2.520

Best Use Cases

  • Premium Production — Cinematic scenes requiring the highest visual quality.
  • Marketing & Ads — High-end promotional videos with professional polish.
  • Film & Storytelling — Film-quality scenes with superior motion and detail.
  • Brand Content — Premium video content for brands demanding top-tier visuals.
  • Long-Form Animation — Up to 15 seconds for extended scene development.

Pro Tips

  • Use detailed, cinematic prompts — include lighting, camera angles, and motion descriptions.
  • Try the Prompt Enhancer to automatically refine your descriptions for richer output.
  • Use negative_prompt to avoid common issues like blurry faces or unwanted elements.
  • Enable sound for environmental audio like rain, city ambience, crowds, or music scenes.
  • Match aspect ratio to your target platform: 16:9 for YouTube, 9:16 for TikTok and Reels, 1:1 for feeds.

Related Models

提示:本网站部分功能由第三方 AI 模型提供支持。

Kling v3.0 Pro Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-pro/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Kling v3.0 Pro Text To Video below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "duration": 5,
    "aspect_ratio": "16:9",
    "cfg_scale": 0.5,
    "shot_type": "customize"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-pro/text-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-pro/text-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "duration": 5,
        "aspect_ratio": "16:9",
        "cfg_scale": 0.5,
        "shot_type": "customize"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "duration": 5,
    "aspect_ratio": "16:9",
    "cfg_scale": 0.5,
    "shot_type": "customize"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/kwaivgi/kling-v3.0-pro/text-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Kling v3.0 Pro Text To Video API — Frequently asked questions

What is the Kling v3.0 Pro Text To Video API?

Kling v3.0 Pro Text To Video is a Kuaishou model for video generation, exposed as a REST API on WaveSpeedAI. Kling 3.0 Pro delivers top-tier text-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and native audio for ready-to-share clips. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Kling v3.0 Pro Text To Video API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-v3.0-pro-text-to-video.

How much does Kling v3.0 Pro Text To Video cost per run?

Kling v3.0 Pro Text To Video starts at $0.56 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Kling v3.0 Pro Text To Video accept?

Key inputs: `prompt`, `aspect_ratio`, `duration`, `negative_prompt`, `cfg_scale`, `multi_prompt`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-v3.0-pro-text-to-video.

How long does Kling v3.0 Pro Text To Video take to generate?

Median end-to-end generation time on WaveSpeedAI is around 167 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Kling v3.0 Pro Text To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Kuaishou). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Kling V3.0 Pro Text to Video | Powerful Text-to-Video API on WaveSpeedAI