Model icon
kling-2.5-turbo-pro
Text to Video
Image to Video
Model:
Kling 2.5 Turbo Pro API supports text-to-video and image-to-video for creative production, ads, product demos, and automated video pipelines.
Input
499/2500
Added 1/1

Drop files here, paste files, or add a URL. image/jpeg,image/png,image/webp · 10 MiB

Start Image Url 1
——
Added 0/1

Drop files here, paste files, or add a URL. image/jpeg,image/png,image/webp · 10 MiB

Output

Example Output

This is sample data. Generate a new result to see real output.

Task ID:zz6r0wtn61rma0csg8tr2qnnewCreated:Poyo official example
Status:finishedProgress:100%
Examples
Pricing details

Transparent pricing with no hidden fees. Pay as you go.

Klingkling-2.5-turbo-pro
5s
PoYo price
$0.210/video
42 credits
Official price
$0.350/video
Fal
You save
40%
Klingkling-2.5-turbo-pro
10s
PoYo price
$0.420/video
84 credits
Official price
$0.700/video
Fal
You save
40%

* Actual fees are based on the final output.

Introduction

Complete guide to using Kling 2.5 Turbo Pro API for Fast Production Loops

Kling 2.5 Turbo Pro API for Fast Production Loops

Kling 2.5 Turbo Pro on PoYo is a practical choice when you want one model that can handle prompt-only generation, optional start and end frames, and predictable short-form pricing. It works well for iteration-heavy creative workflows that need a single flexible default.

Key Features of Kling 2.5 Turbo Pro API

Three practical strengths that make Kling 2.5 Turbo Pro a flexible default video model.

01

One model for text-to-video and image-to-video

Kling 2.5 Turbo Pro can run from prompt-only input or move into frame-guided generation when you want tighter visual control without switching model families.

  • Prompt-only generation supported
  • Optional frame guidance when direction firms up
  • Good for iteration-heavy creative teams

02

Optional start and end frame guidance

The model supports optional start and end images, which makes it easier to steer the opening composition and the final shot state inside one request.

  • Supports start_image_url
  • Supports end_image_url
  • Useful for product reveals and storyboard-driven motion
Kling 2.5 Turbo Pro frame guidance example

03

Smooth motion with strong prompt adherence

The official model positioning highlights smoother motion, improved prompt understanding, and more stable style consistency, which is why it works well for polished short clips.

  • Smooth motion quality
  • Stronger prompt adherence
  • More stable style and scene consistency

What Can You Create with Kling 2.5 Turbo Pro

01

Launch clips

Generate short promotional videos for feature launches, landing pages, and campaign teasers.

02

Visual iteration

Start from rough prompts, then tighten key shots with frame guidance when creative direction firms up.

03

Multi-format video assets

Use aspect ratio control to create variants for web, mobile feeds, and in-app placements.

04

API-based video products

Use one flexible model as a default video engine inside internal tools or customer-facing workflows.

How to Use Kling 2.5 Turbo Pro API on PoYo

Step 1: Start with a prompt
Submit a prompt-only request if you want the fastest path to a draft, or add frame URLs when you need more structure.
Create API Key →

Step 2: Set duration and framing
Choose 5 or 10 seconds and optionally set aspect_ratio to match your target output format.
Add Credits →

Step 3: Handle generation asynchronously
Use the standard PoYo submit and status endpoints, or consume results through webhook callbacks.

Kling 2.5 Turbo Pro API Pricing on PoYo

5 seconds: 42 credits

10 seconds: 84 credits

The fixed-duration pricing model works well when you need quick budgeting for repeated creative experiments and production jobs.

Frequently Asked Questions about Kling 2.5 Turbo Pro API

Do I need to provide frame images for Kling 2.5 Turbo Pro?

No. You can use prompt-only generation. start_image_url and end_image_url are optional.

What durations are supported?

Kling 2.5 Turbo Pro currently supports 5-second and 10-second output on PoYo.

Can I control framing?

Yes. aspect_ratio can be passed to guide output framing for different placements and surfaces.

When should I use start_image_url or end_image_url?

Use start_image_url when the opening shot matters. Add end_image_url when you want the final frame to land closer to a planned visual target.

Why use this model instead of Kling 2.1?

Kling 2.5 Turbo Pro is a good fit when you want one flexible model for both prompt-only and optional frame-guided generation, instead of choosing between standard and pro modes.

Why Choose PoYo for Kling 2.5 Turbo Pro API Integration

01

One flexible default

Use a single model ID for prompt-only drafts and frame-guided refinements.

02

Simple fixed pricing

5-second and 10-second credit tiers are easy to understand and easy to forecast.

03

Async-ready delivery

Integrate with PoYo's existing polling and webhook task flow instead of building provider-specific glue.

04

Fits multiple surfaces

Aspect-ratio support helps teams reuse the same model for different channels and placements.