Wan 2.7 Text to Video

Wan 2.7 Text to Video

Video
Qwen

Description

Wan 2.7 Text to Video is a state-of-the-art multimodal AI model developed by Alibaba, specifically engineered for professional-grade video generation from natural language descriptions. Built on a powerful 27-billion-parameter Mixture-of-Experts (MoE) architecture, this model represents a major leap forward in generative video technology. It is designed for filmmakers, marketers, content creators, designers, and creative agencies who require cinematic motion, high visual fidelity, and realistic physics without the overhead of traditional video production.

The defining strength of Wan 2.7 Text to Video is its exceptional motion smoothness and temporal consistency. Powered by the innovative Wan-VAE 3D causal autoencoder, the model generates high-fidelity videos at 720p or 1080p resolution with durations ranging from 2 to 15 seconds. It maintains strict coherence of objects, lighting, and textures across all frames, eliminating the morphing artifacts common in older video generators. The model natively supports five configurable aspect ratios, including 16:9 widescreen, 9:16 vertical for mobile platforms, and 1:1 square, making it highly adaptable for diverse digital channels.

A standout feature of Wan 2.7 is its native support for synchronized audio generation. The model can automatically synthesize matching ambient sounds and sound effects that align perfectly with the on-screen action. Alternatively, users can provide their own audio tracks to guide the visual rhythm and synchronize motion with voiceovers or music. Additionally, the built-in prompt expansion feature automatically enriches short text inputs, adding descriptive details about camera movements, lighting styles, and environmental elements to ensure a highly polished, cinematic output.

For marketing and advertising applications, Wan 2.7 Text to Video serves as a high-speed production engine. It enables teams to quickly generate promotional clips, social media ads, product demonstrations, and conceptual visual assets. The model excels at rendering complex physical interactions, fluid dynamics like water and fire, and subtle human facial expressions. This allows businesses to rapidly iterate on creative campaigns, maintain a consistent brand aesthetic, and significantly reduce content creation costs.

On Riser Chat, Wan 2.7 Text to Video is the premier choice for users looking for a cutting-edge AI video generator, text-to-video tool, and cinematic animation assistant. It is Alibaba's flagship video model for anyone who wants to push the boundaries of digital storytelling, gain precise control over camera dynamics, and leverage artificial intelligence as a versatile director and cinematographer capable of bringing complex textual concepts 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

$0.90

per 5 seconds

Video cost examples

5-second video

Estimated cost of a short video.

$0.90

20-second video

Estimated cost of a video around 20 seconds long.

$3.60

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