Wan V2.2 A14B
wan / 2-2-a14b-image-to-video-turbo

Wan 2.2 A14B Turbo API, the latest generation of the Wan video model, is built with a Mixture-of-Experts (MoE) architecture and supports text-to-video (T2V), image-to-video (I2V) and speech-to-video(S2V). It delivers smooth 720p@24fps clips with cinematic quality, stable motion, and consistent visual style for diverse creative and commercial use cases.

Model Type:
Pricing: wan v2.2-a14b turbo costs 16 credits per video second for 720p ($0.08), 8 credits per video for 480p ($0.04) High-tier top-ups (+10% bonus) bring effective pricing down to ~$0.073 per second (720p), and ~$0.036 per video (480p).
Input

Click to upload or drag and drop

Supported formats: JPEG, PNG, WEBP Maximum file size: 10MB

URL of the input image. If the input image does not match the chosen aspect ratio, it is resized and center cropped.

The text prompt to guide video generation.

0/5000

Resolution of the generated video (480p, or 720p). Default value: "720p"

Whether to enable prompt expansion. This will use a large language model to expand the prompt with additional details while maintaining the original meaning.

Random seed for reproducibility. If None, a random seed is chosen.

Acceleration level to use. The more acceleration, the faster the generation, but with lower quality. The recommended value is 'none'. Default value: "none"

A configurable parameter. Defaults to true in the Playground.

There is no guarantee that everything can be filtered out; if you are not satisfied with the results, you will need to make your own arrangements.
Output
output typevideo
Examples

Explore different use cases and parameter configurations

README

Complete guide to using Wan V2.2 A14B

Wan 2.2 Turbo API -T2V&I2V&S2V-A14B

ModelKey Feature
Text-to-Video Turbo (Wan 2.2 T2V A14B API)Transforms detailed text prompts into cinematic videos at 720p and 24 fps with Turbo acceleration for fast, high-quality clip generation.- High-Resolution Output: 720p at 24 fps - Turbo Acceleration: Fast video generation - Coherent Motion: Fluid, natural sequences - Consistent Style: Uniform visual aesthetics - Customizable Prompts: Tailored content and mood
Image-to-Video Turbo (Wan 2.2 I2V A14B API)Animates static images into smooth cinematic videos using a high-resolution image and descriptive prompt to guide motion and style.- Image Animation: Smooth transitions from static images - Prompt-Guided Motion: Precise camera control - Style Customization: Defined visual aesthetics - High Compatibility: Supports various image formats - Fast Processing: Quick rendering with Turbo
Speech-to-Video Turbo (Wan 2.2 S2V A14B API)Turns static images and audio clips into dynamic, expressive videos, ideal for storytelling, marketing, and education, with seamless Kie.ai integration.- Audio-Driven Animation: Syncs audio with visuals - Multi-Input Support: Combines images and audio - Expressive Visuals: Lifelike movements and emotions - Seamless Integration: Easy use with Kie.ai - High-Quality Rendering: Professional-grade output
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  • Wan 2.2 A14B Turbo API is part of the Wan 2.2 suite, enabling fast cinematic video generation from text or images at 720p and 24 fps, available through Wan 2.2 online API on Kie.ai.

    Kie.ai provides Wan 2.2 T2V API for text-to-video, Wan 2.2 I2V API for image-to-video and S2V for speech-to-video, all powered by the Wan 2.2 A14B Turbo API for smooth motion and cinematic fidelity.

    Turbo mode in Wan 2.2 turbo API accelerates rendering while preserving cinematic quality, making it ideal for rapid prototyping, marketing workflows, and automated pipelines.

    No. Through Wan 2.2 online API on Kie.ai, developers can call Wan 2.2 A14B API via REST endpoints without GPU setup, ensuring easy deployment and scalability.

    Yes. Kie.ai offers free Wan AI API testing, allowing developers to experiment with Wan 2.2 A14B Turbo API, T2V API, and I2V API before full integration.

    Wan 2.2 I2V A14B supports 480p and 720p outputs, delivering smooth cinematic animation from still images with stable motion.

    Wan 2.2 uses a larger training dataset and a Mixture-of-Experts (MoE) architecture, offering smoother motion, more stable camera control, and higher visual fidelity.