Wan 2.7 Image to Video

Wan 2.7 Image to Video

Video
Qwen

Description

Wan 2.7 Image to Video is a next-generation multimodal AI model developed by Alibaba, specifically engineered to transform static images into high-quality, cinematic video clips. Unlike traditional animation tools, this model offers an unprecedented level of creative control, allowing users to not only animate images but literally direct the motion while maintaining flawless detail and visual consistency. The model is designed for filmmakers, marketers, designers, content creators, and creative agencies who require realistic video assets without the overhead of traditional video production.

The defining strength of Wan 2.7 Image to Video lies in its support for three distinct generation modes that solve the most persistent challenges in AI video production. The first mode is classic first-frame conditioning (First Frame), where the model takes a starting image and smoothly animates it based on a text prompt. The second, highly revolutionary mode is First and Last Frame Control. By providing both a starting and an ending image, the model generates a seamless transition between them, which is ideal for product reveals, morphs, and controlled scene cuts. The third mode is Video Continuation, which allows users to extend existing video clips while preserving motion dynamics and style.

The model generates high-fidelity videos at 720p or native 1080p resolution with durations ranging from 2 to 15 seconds. Powered by a 27-billion-parameter Mixture-of-Experts (MoE) architecture and an innovative "Thinking Mode" for logical composition planning, Wan 2.7 Image to Video delivers exceptional motion smoothness, realistic physics for fluids and fabrics, and perfect character consistency across the entire clip. Another standout feature is its native support for synchronized audio generation: the model can automatically synthesize matching ambient sounds or align character lip movements and body motion to an uploaded voice track.

For business and marketing applications, Wan 2.7 Image to Video serves as a high-speed production engine. It enables teams to quickly turn static product photos into dynamic ads, animate concept art for storyboarding, create engaging social media content (TikTok, Instagram, YouTube Shorts), and rapidly iterate on creative campaigns. The built-in prompt expansion feature automatically enriches short text inputs, adding descriptive details about camera movements and lighting to ensure a highly polished, professional output.

On Riser Chat, Wan 2.7 Image to Video is the premier choice for users looking for a cutting-edge AI image-to-video generator, photo animation tool, and cinematic video assistant. It is Alibaba's flagship video model for anyone who wants to gain precise control over camera dynamics, generate realistic animations with synchronized audio, and leverage artificial intelligence as a versatile digital director capable of bringing static visuals to life.

Pricing

Pricing depends on the model type. For text models, prices are shown per 1 million tokens, with example request estimates below.

Video price

$1.00

per 5 seconds

Video cost examples

5-second video

Estimated cost of a short video.

$1.00

20-second video

Estimated cost of a video around 20 seconds long.

$4.00

Actual cost may vary depending on prompt length, output length, generation settings, and selected model.