Click or Drag-n-Drop
PNG, JPG or GIF, Up-to 2048 x 2048 px
Enable for synchronized audio output. Recommended for immersive experiences.
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.
start_image_url (required)end_image_url for controlled transitionsduration)16:9, 9:16, 1:1cfg_scale (0–1)generate_audio9:16)negative_prompt (advanced) to reduce artifacts: try “noise, flicker, jitter, warping.”cfg_scale higher when motion must match the prompt; lower if output feels rigid or overfit.end_image_url when you need a clear start → end transformation (e.g., pose change).generate_audio for immersive clips; keep it off for silent UI/background loops.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.