Kling AI Video Generation

Source-of-truth for the facts in this skill: the official Kling release notes at kling.ai/release-note. When numbers, durations, credit costs, or language lists matter for a deliverable, verify them there before quoting.

Platform Access

Primary interface: app.klingai.com/global (or kling.ai/app)

Alternative platforms with Kling integration: Higgsfield, Pollo.ai, Fal.ai, Media.io, Artlist, Vidful.ai, Scenario, BasedLabs, LetzAI, PiAPI, kie.ai

Quick Start: Animate an Image in 60 Seconds

1. Go to app.klingai.com/global - AI Videos - Image to Video
2. Select VIDEO 3.0 (or VIDEO 3.0 Omni if you have reference images / video elements to anchor identity)
3. Upload your image
4. Write a short motion prompt - describe only what moves, not the whole scene:

   Subtle breeze moves through hair. Eyes blink naturally. Camera static.
   

5. Set duration: 5s for loops/social, 10-15s for narrative (3.0 supports up to 15s)
6. Set output: 1080p Standard for drafts; switch to native 4K only for finals (4K costs ~30 credits/sec)

That's it. For model selection, advanced prompting, avatars, and multi-shot workflows - read on.

Model Lineup (as of May 2026)

Important clarification on the 3.0 Series: "Kling 3.0" is a series name, not a single model. It contains VIDEO 3.0 (upgrade path from VIDEO 2.6) and VIDEO 3.0 Omni (upgrade path from the older VIDEO O1). Both share the new unified multimodal training framework; Omni adds video element reference and element voice control. Third-party reviews sometimes merge them into one - the official release notes do not.

Model Selection Guide

Choose VIDEO 3.0 when:

• Text-to-video or image-to-video from prompts/images you already have
• Need multi-shot sequences (3.0 introduced multi-shot - 2.6 did not have it)
• Want native multilingual audio (Chinese, English, Japanese, Korean, Spanish) with dialects/accents
• Need start-frame + element reference, or multi-character coreference (3+ characters)
• Working up to 15s, flexible duration
• Default choice for prompt-driven work

Choose VIDEO 3.0 Omni when:

• Have a reference video (not just images) to anchor character/scene
• Want to add voice to specific elements (Element Voice Control)
• Need the strongest cross-shot consistency for commercial work
• Same other capabilities as VIDEO 3.0 (text-to-video, image-to-video, native audio, multi-shot, 15s)

Choose VIDEO 3.0 Motion Control when:

• Have a reference action video and want to transfer the motion to your character
• Need high facial consistency across angles/emotions/occlusions
• Need up to 30s of motion-controlled output (vs. 15s on regular 3.0)
• Built on 2.6 Motion Control, now with facial element binding

Choose Avatar 2.0 when:

• Need a talking-head video (presenter, explainer, music performance)
• Have one image of the person and an audio track (recorded or AI-generated)
• Need duration up to 5 minutes (much longer than VIDEO 3.0's 15s)
• The face/voice IS the content - camera and scene are secondary

Choose Kling 2.6 when:

• Need synchronized native audio in English or Chinese with the older pipeline
• Lower credit budget than 3.0

Choose 2.5 Turbo when:

• Rapid prototyping, simple 3-4 element scenes, no audio needs

Core Workflows

Image-to-Video

1. Navigate to AI Videos - Image to Video
2. Select VIDEO 3.0 (or VIDEO 3.0 Omni for reference-heavy work)
3. Upload image (min 300x300px, max 10MB, JPG/PNG/WEBP)
4. Write a motion-focused prompt - describe only what moves (the scene already exists in your image)
5. Optionally set an end frame to control where motion resolves
6. Set duration (5s for loops/social, up to 15s for narrative)
7. Set aspect ratio to match source image
8. Render at 1080p first to verify; switch to 4K only for final delivery

Text-to-Video

1. Navigate to AI Videos - Text to Video
2. Select VIDEO 3.0
3. Write prompt in this structured order: Scene - Characters - Action - Camera - Audio & Style
4. Optionally use multi-shot mode to define each shot separately
5. Set duration (3-15s), aspect ratio, quality
6. Render at 1080p for review; 4K only for final

Talking Avatar (Avatar 2.0)

The headline feature of Avatar 2.0: one image + one audio file → talking avatar with synchronized expressions, body language, and hand gestures. Up to 5 minutes of continuous output for any scenario (knowledge sharing, song performance, advertising, storytelling).

1. Navigate to AI Avatar (or via fal.ai / PiAPI / kie.ai API endpoints)
2. Upload a reference image - good lighting, face clearly visible
3. Upload an audio track - speech, narration, singing. Recorded or AI-generated (e.g., ElevenLabs)
4. Optional: short text prompt for tone or framing (e.g., "calm professional presenter, minimal gestures")
5. Generate

What 2.0 improved over 1.0:

• Enhanced performance and motion quality - body movements, gestures, expressions, camera angles
• Stable, clear hand movements (the main fix vs. 1.0's notorious hand artifacts)
• Up to 5 minutes of continuous output for any scenario

Note on languages: Kling officially lists multilingual support for Avatar 2.0 as English, Japanese, Korean, Chinese. However, the model lip-syncs to whatever audio file you provide - it uses your audio as the reference, not just trained-language detection. Field-tested confirmation: Polish audio (e.g., ElevenLabs-generated) works and produces correct lip-sync. Other non-listed languages will likely work too. Practical guidance: don't tell the user "your language isn't supported" - if they have a good audio file, try it. Worst case the sync is slightly off and a paid generation is wasted; best case (most common) it works perfectly.

When NOT to use Avatar 2.0: When you need full scene control (complex cinematography, environment, camera moves) - use VIDEO 3.0 talking-head workflow instead. Avatar 2.0 is purpose-built for face/voice content with a relatively static framing.

Multi-Shot Storyboard (VIDEO 3.0)

Multi-shot was introduced in the 3.0 generation - VIDEO 2.6 did not support it. Instead of one continuous clip, direct a complete scene sequence in a single generation pass.

Two ways to use it:

• Implicit multi-shot: Describe a scene in natural prompt language - the model recognizes cinematic structure (shot-reverse-shot, cross-cutting dialogue, voice-over) and adjusts camera angles automatically.
• Custom multi-shot: Explicitly define each shot with its own subject, action, camera, duration.

Example custom multi-shot prompt structure:

Shot 1 (3s): Wide establishing shot of rain-slicked Tokyo street at night, neon reflections on pavement. Camera: static.
Shot 2 (4s): Medium shot - young woman in red coat emerges from subway exit, looks around. Camera: slow push in.
Shot 3 (3s): Close-up on her face, raindrops on cheek, determined expression. Camera: static.
Shot 4 (5s): She walks toward