Fastwan AI transforms video generation with breakthrough sparse distillation technology. Create stunning 5-second videos in just 5 seconds using advanced diffusion models trained with video sparse attention.
Fastwan AI represents a breakthrough in video generation technology. Built on the foundation of Wan models, it introduces sparse distillation - a novel training method that combines video sparse attention with step distillation to achieve unprecedented speed improvements while maintaining high-quality output.
Traditional video diffusion models require 50 denoising steps and suffer from quadratic attention costs when processing long sequences. For a 5-second 720P video, models must handle over 80,000 tokens, with attention operations consuming more than 85% of inference time.
Fastwan AI solves this through sparse distillation, which trains sparse attention and denoising step reduction together. This unified approach allows the model to learn data-dependent sparsity patterns while compressing generation from 50 steps to just 3 steps, creating massive speedups without quality loss.
VSA dynamically identifies important tokens during training, making it fully compatible with distillation techniques. This breakthrough enables production-ready sparse attention that scales effectively.
Fastwan AI delivers industry-leading performance through advanced sparse distillation technology and optimized model architectures.
Advanced sparse attention training reduces video generation from 50 steps to just 3 steps
Choose from FastWan2.1-1.3B for 480P or FastWan2.2-5B for 720P video generation
Generate 5-second videos in 5 seconds on H200 or 21 seconds on RTX 4090
Choose the right model for your needs. All models are released under Apache-2.0 license with complete training recipes and datasets.
Pre-trained weights available on Hugging Face
Complete training scripts and configurations
High-quality training data for reproducibility
Understanding how each optimization contributes to Fastwan AI's exceptional performance across different hardware configurations.
Fastwan AI implements both FlashAttention 2 and 3 for memory-efficient attention computation. FA3 provides additional speedups through advanced kernel optimizations.
DMD reduces inference steps from 50 to 3 by training student models to match teacher distributions, maintaining output quality while dramatically reducing computation.
VSA learns to identify and focus on important tokens during training, reducing attention complexity while maintaining quality through data-dependent sparsity patterns.
Experience the power of Fastwan AI directly in your browser. Generate videos from text prompts or images using our optimized FastWan2.2-5B model running on H200 GPUs.
This demo runs FastWan2.2-TI2V-5B which supports both text-to-video and image-to-video generation in just 3-5 steps.
Generate videos from text descriptions. The model understands complex prompts and creates coherent motion sequences.
Upload an image and add motion to create dynamic videos. Perfect for animating static content.
Experience 16-second generation times for 720P videos on our H200 infrastructure.
Fastwan AI enables rapid video creation across industries, from content creation to research and development.
Social media creators and marketers can rapidly generate video content for campaigns, product demos, and engaging posts. The speed advantage allows for quick iteration and testing of different concepts.
Designers and developers can quickly prototype video concepts, test visual ideas, and create proof-of-concepts without extensive production resources or time investment.
Educational institutions can create instructional videos, visual explanations, and interactive learning materials quickly and cost-effectively.
Researchers can explore video generation techniques, conduct experiments with different prompts and parameters, and validate hypotheses about visual content generation.
Game developers can generate cut-scenes, character animations, and environmental sequences for testing and prototyping game concepts rapidly.
Companies can create training materials, product demonstrations, and internal communications videos efficiently, reducing production costs and time-to-market.
Fastwan AI is designed to be accessible across different hardware configurations, from high-end data center GPUs to consumer graphics cards.
Optimal performance with 5-16 second generation times depending on model variant.
Excellent performance with 21-45 second generation times. Great for personal projects.
Native support for Apple M-series chips through FastVideo framework.
All Fastwan AI models are released under the Apache-2.0 license, ensuring complete access to model weights, training code, and datasets. This commitment to open science enables reproducible research and community collaboration.
Training costs are remarkably affordable at approximately $2,603 for the complete FastWan2.1-1.3B model using cloud H200 instances, making advanced video generation accessible to research institutions and companies.