Wan 2.7 AI Video Model

Wan 2.7 AI Video Generator

Experience the next evolution in AI filmmaking. Wan 2.7 offers unprecedented 1080P resolution, flawless reference consistency, and multi-shot director control. Start your creative journey below.

1080P Cinematic Output
Perfect Motion Consistency
Up to 15 Seconds Duration
Advanced R2V Support
Image
60 Credits
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The Next Generation of Open-Source Video Models

Wan 2.7 is not just another AI video generator; it represents a paradigm shift in how we approach synthetic media. By utilizing an advanced diffusion transformer architecture with deeply optimized 3D attention mechanisms, Wan 2.7 understands physics, lighting, and cinematic composition at an unprecedented level. The model is specifically tuned to generate highly realistic, cinematic 1080P videos from textual descriptions, static images, or reference videos. This is the ultimate tool for creators who demand pixel-perfect detail, fluid motion, and strict adherence to their creative vision without the compromises typically associated with earlier generative models.

Three Powerful Generation Modes

Discover the flexible ways you can bring your ideas to life.

Text-to-Video: Words into Cinematic Reality

Wan 2.7's Text-to-Video (T2V) engine takes simple or highly complex prompts and transforms them into breathtaking visual narratives. The model exhibits a deep understanding of natural language, correctly interpreting cinematic terms like 'tracking shot', 'rack focus', and 'bokeh'. Whether you are generating a bustling cyberpunk city street or a serene nature landscape, the model maintains perfect temporal consistency. Character physics, lighting dynamics, and atmospheric effects (like fog, rain, or cinematic flares) are rendered with photorealistic precision. This mode supports generating up to 10 seconds of high-fidelity footage at 1080P or 720P resolutions.

Image-to-Video: Bring Still Images to Life

Have a stunning concept art or a real photograph? Wan 2.7's Image-to-Video (I2V) capabilities allow you to breathe life into static assets. The model analyzes the spatial depth, lighting, and semantic meaning of your uploaded image to create realistic motion that matches the scene's context. Furthermore, Wan 2.7 supports advanced image conditioning, allowing for multi-image references. You can upload up to 9 distinct reference images to guide the generation process, ensuring that the final video strictly adheres to your specific character designs, brand guidelines, or storyboard layouts.

Reference-to-Video: Director-Level Control

For ultimate control, the Reference-to-Video (R2V) mode is a game-changer. You can upload up to 3 reference videos and 9 reference images simultaneously. Wan 2.7 will extract the motion dynamics from your reference videos while applying the visual style and subject consistency from your reference images. This allows for complex style transfers, video restyling, or creating variations of an existing scene while preserving the core action. It's the perfect solution for animators and video editors who need precise control over the final output's pacing and visual identity.

Unleashing Creative Potential

Explore stunning 1080P examples generated entirely by Wan 2.7.

Urban Cinematic Walk

A stunning tracking shot of a stylish woman walking down a vibrant city street. Notice the perfect temporal consistency in her clothing physics, fluid walking motion, and the realistic background bokeh.

Cybernetic Eyes

An extreme close-up of futuristic cybernetic eyes. The intricate mechanical details, dynamic reflections, and glowing irises showcase Wan 2.7's mastery over complex sci-fi concepts and macro photography simulation.

Nature's Blossom

A beautiful generation of a flower blooming under the warm sun. The model perfectly captures the delicate translucency of the petals, dynamic lighting, and natural organic movement.

High-Speed Racing

A thrilling dynamic shot of a high-performance racing car tearing up the track. Wan 2.7 flawlessly renders motion blur, complex particle dust, and high-speed physics without losing spatial integrity.

Empowering Every Industry

How professionals are using Wan 2.7 to revolutionize their workflows.

1

Filmmaking & Pre-visualization

Directors and cinematographers use Wan 2.7 to rapidly generate storyboards and pre-visualization animatics. By combining text prompts with reference images, they can establish the exact look, feel, and camera movement before stepping onto a physical set.

2

Marketing & Advertising

Agencies leverage Wan 2.7 to produce high-quality B-roll, product showcases, and social media campaigns in minutes rather than weeks. The ability to use brand guidelines as image references ensures all generated content aligns perfectly with corporate identities.

3

Social Media Creation

Content creators and influencers utilize the fast 5-second generation mode to quickly produce viral clips, engaging intros, and dynamic background loops for platforms like TikTok, YouTube Shorts, and Instagram Reels.

4

Game Development

Indie developers and AAA studios alike use Wan 2.7 to prototype cutscenes, generate animated textures, and create promotional trailers. The model's understanding of 3D space makes it an invaluable asset for visualizing complex interactive scenes.

Why Choose Wan 2.7?

When compared to other leading proprietary and open-source models like Sora, Kling, or Seedance, Wan 2.7 stands out for several critical reasons.

Open-Source Innovation

As an openly accessible architecture, Wan 2.7 benefits from rapid community iteration. The underlying model weights are continuously refined, offering transparency and control that closed ecosystems simply cannot provide.

Unmatched Reference Fidelity

While other models struggle with character consistency when generating longer clips, Wan 2.7's ability to process up to 9 reference images ensures that specific subjects, clothing, and styles remain locked in throughout the entire generation process.

Cost-Effective 1080P Generation

Producing cinematic 1080P video is often prohibitively expensive with other APIs. Wan 2.7 offers highly optimized inference, allowing us to provide 1080P generation at extremely competitive credit rates (10 credits/sec), democratizing access to high-end AI video.

Technical Specifications & Capabilities

Deep dive into what makes Wan 2.7 the most powerful open-source video generator available today.

Resolutions
Supports native 720P (1280x720) and 1080P (1920x1080) outputs. The 1080P mode utilizes advanced spatial upscaling algorithms within the latent space to ensure crisp details without unwanted artifacts.
Durations
Choose between 5-second and 10-second generation lengths. The 10-second mode maintains robust temporal consistency without degradation in the latter half of the video.
Aspect Ratios
Fully supports 16:9 (Cinematic), 9:16 (Vertical/Mobile), 1:1 (Square), 4:3 (Classic), and 3:4 (Portrait) aspect ratios to fit any platform requirement.
Reference Limits
The most advanced reference system available: Upload up to 9 distinct images and up to 3 reference videos (max 30 seconds each, up to 100MB) simultaneously in R2V mode for unparalleled control.

Frequently Asked Questions

Everything you need to know about generating videos with Wan 2.7.

The Future of Generative AI with Wan 2.7

The Wan 2.7 AI Video Generator represents a paradigm shift in how we conceive and produce video content. By bridging the gap between raw textual imagination and polished cinematic reality, it democratizes high-end video production. It is no longer constrained to short, silent loops. Wan 2.7 introduces multi-shot storytelling with native audio synchronization, making it a true end-to-end production tool. Whether you are a solo content creator looking to stand out in a crowded social feed, or a large-scale agency prototyping commercial campaigns, this model provides the director-level control and pristine 1080P output necessary to bring your most ambitious visions to life. Experience the future of digital storytelling today. Stop imagining, start generating.