Kling 3.0 Pro Image-to-Video

Animated 1080p videos from images with dynamic motion.

~286.49s
$0.672 - $10.92 per generation

Inputs

Describe the motion and animation to create from the image.

Starting image to animate. This will be the first frame. Max 50MB.

Drag & drop image or click to browse

Supports image/*

Length of the output video in seconds.

Aspect ratio of the generated video.

Generate synchronized audio. Supports Chinese and English.

Examples

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Kling 3.0: Image-to-Video Model (1080p + Native Audio)

What is Kling 3.0?

Kling 3.0 is a generative image-to-video model that turns a starting image into a cinematic-quality 1080p animation, with an option to produce native, synchronized audio. It’s designed for developers building video generation features—like motion from stills, animated product shots, and stylized clips—while maintaining strong prompt control over how the scene moves.

On platforms like fal.ai, Kling is known for narrative-friendly generation (including multi-shot workflows and element consistency). On Segmind, this endpoint focuses on a practical workflow: animate a provided start frame, optionally guide motion with a prompt, and (if needed) constrain the transition with an end frame.

Key Features

  • Start-frame animation via start_image_url (required)
  • Prompt-driven motion control with natural language verbs and action cues
  • Optional end-frame targeting using end_image_url for controlled transitions
  • Flexible duration from 3–15 seconds (duration)
  • Aspect ratios for common placements: 16:9, 9:16, 1:1
  • Prompt adherence tuning using cfg_scale (0–1)
  • Optional audio generation with generate_audio

Best Use Cases

  • Marketing & product: animated hero shots, lifestyle motion, app promos
  • Creator content: short cinematic loops for Reels/TikTok (use 9:16)
  • Gaming & entertainment: atmosphere shots, scene motion tests, concept animatics
  • Education: animated diagrams or historical stills with subtle motion

Prompt Tips and Output Quality

  • Describe motion, not just visuals: “camera slowly pushes in, wind moves hair, subtle parallax.”
  • Prefer dynamic verbs: drift, swirl, pan, zoom, ripple, rotate.
  • Use negative_prompt (advanced) to reduce artifacts: try “noise, flicker, jitter, warping.”
  • Set cfg_scale higher when motion must match the prompt; lower if output feels rigid or overfit.
  • Use end_image_url when you need a clear start → end transformation (e.g., pose change).
  • Turn on generate_audio for immersive clips; keep it off for silent UI/background loops.

FAQs

Is Kling 3.0 text-to-video or image-to-video?
This Segmind endpoint is image-to-video (requires start_image_url).

How do I generate 9:16 vertical video?
Set aspect_ratio to 9:16 and compose prompts with “portrait framing” cues.

What duration works best?
Start with 5–8 seconds. Use longer durations for slower camera moves and richer motion beats.

What does cfg_scale do?
It controls prompt adherence. Higher = more literal motion; lower = more interpretive animation.

How do I reduce flicker and artifacts?
Use negative_prompt (e.g., “flicker, noise”) and avoid overly complex motion in one prompt.