Wan2.2-Fun-Control: Next-Gen AI Video Generation with Precision Control – Now on WavespeedAI
Wan2.2-Fun-Control is a next-generation video generation and control model designed to generate high-quality videos that adhere strictly to predefined control conditions.
Unlike traditional generative models that rely primarily on text or image prompts, Wan2.2-Fun-Control leverages a unique Control Codes mechanism combined with deep learning and multi-modal inputs to deliver unprecedented control over the output.
Core technology advantages
Multi-Modal Control with Control Codes
At the core of Wan2.2-Fun-Control is its multi-modal control system, which supports a wide range of conditional inputs:
- Canny (Line Art): Control object shapes and structural outlines.
- Depth: Guide spatial relationships and 3D composition.
- OpenPose (Human Pose): Direct character poses and movements with skeletal precision.
- MLSD (Geometric Edges): Maintain architectural and geometric consistency.
- Trajectory Control: Define motion paths for objects and characters.
This multi-modal capability enables developers to build complex video generation pipelines that respect artistic intent and structural constraints.
Cinema-Grade Video Quality
Built on the Wan2.2 architecture, Wan2.2-Fun-Control produces film-level video quality, with high fidelity in textures, lighting, and motion. Whether you’re generating assets for VFX, advertising, or virtual production, output meets professional standards.
Multi-Language Prompt Support
The model accepts prompts in both Chinese and English, making it accessible to a global developer community and enabling multilingual applications without additional translation layers.
Commercial-Ready Licensing
With its Apache 2.0 license, Wan2.2-Fun-Control can be freely integrated into commercial products, offering businesses full flexibility without legal ambiguity.
Technical Deep Dive: How Control Codes Work
The Control Codes mechanism is the technical soul of Wan2.2-Fun-Control. It operates by encoding conditional inputs—such as edge maps, depth maps, or pose skeletons——into structured representations that guide the diffusion process during video generation.
This approach differs from simple concatenation or attention-based conditioning by enforcing hard constraints throughout the generation pipeline. As a result, the model not only understands high-level semantics but also respects low-level structural and geometric properties defined by the control inputs.
For developers, this means:
- Predictable outputs with precise adherence to control inputs.
- Composability—multiple control types can be combined for complex scenes.
- Robustness—the model gracefully handles conflicting or ambiguous inputs.
Why Use Wan2.2-Fun-Control on WavespeedAI?
Today, we’re excited to announce that WavespeedAI now offers fast, scalable API access to Wan2.2-Fun-Control, empowering developers, creators, and enterprises to integrate state-of-the-art video generation into their applications with minimal friction.
Blazing-Fast Inference
Our API is optimized for low-latency, high-throughput video generation. Whether you’re generating short clips or extended sequences, WavespeedAI ensures minimal wait times and reliable performance under load.
Simple RESTful API Integration
With clear documentation and JSON-based API calls, integrating Wan2.2-Fun-Control into your stack takes minutes, not days. We provide sample code in multiple languages (Python, JavaScript, cURL) to accelerate development.
Cost-Effective Pricing
Our pricing is transparent and usage-based: $0.2 per 5 seconds of generated video, with support for clips up to 120 seconds. Pay only for what you use—no upfront costs or long-term commitments.
Enterprise-Grade Reliability
WavespeedAI offers 99.9% uptime, auto-scaling infrastructure, and dedicated support. Whether you’re running a startup app or a large-scale production system, our platform scales with your needs.
No DevOps Overhead
Skip the hassle of GPU provisioning, model updates, and dependency management. We handle the infrastructure, so you can focus on building your product.
Use Cases
Content Creation & Advertising
- Generate product videos with consistent branding and motion.
- Create multilingual ad variants in minutes.
- Produce animated storyboards from static concepts.
Virtual Production & VFX
- Generate background plates with controlled camera motion.
- Pre-visualize scenes with directed character animations.
- Create procedural textures and effects.
Digital Humans & Avatars
- Animate virtual influencers with precise pose and expression control.
- Generate training data for avatar animation models.
- Produce personalized video messages at scale.
Education & Training
- Create instructional videos with controlled visual sequences.
- Generate multilingual educational content.
- Build interactive simulations with guided motion.
Game Development & Prototyping
- Rapidly prototype cinematics and cutscenes.
- Generate character animation loops from pose sequences.
- Create environmental concept videos with depth control.
Performance Benchmarks
On WavespeedAI, Wan2.2-Fun-Control delivers:
- 5-second clips in under 30 seconds (average)
- 30-second clips in under 2 minutes
- 120-second clips in under 8 minutes
These times include pre-processing, generation, and post-processing. Actual performance may vary based on input complexity and server load.
Conclusion
Wan2.2-Fun-Control represents a significant leap forward in AI video generation, offering precision control, cinematic quality, and commercial flexibility. By hosting it on WavespeedAI, we’re making this powerful technology accessible to developers and businesses through a fast, reliable, and cost-effective API. Whether you’re building the next generation of creative tools, automating content production, or exploring new frontiers in AI-driven media, Wan2.2-Fun-Control on WavespeedAI gives you the power to innovate faster and more precisely than ever before.
Get Started with Wan2.2-Fun-Control Today
Ready to build the future of video?
🚀 Get Started with Wan2.2-Fun-Control on WavespeedAI
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