Krea WAN 14B Video-to-Video

Krea WAN 14B API Overview

Krea WAN 14B is an advanced video generative AI model based on the WAN architecture. It excels in high-detail video generation and video-to-video transformation with stable motion and precise style control. The model targets creative video production, synthetic content creation, and advertising visualizations. Users benefit from real-time editing and style transfer capabilities on uploaded videos.

Technical Specifications

• Model Type: Video generative diffusion model
• Architecture: Based on WAN, distilled to 14 billion parameters
• Inference Speed: Approximately 11 frames per second (fps)
• Generation Modes: Supports Video-to-Video transformations
• Input Formats: mp4, mov, webm, m4v, gif

Performance Benchmarks

• Achieves 11 fps inference speed on a single high-end GPU
• Scales 10 times larger than previous real-time video models
• Latency as low as 1 second to the first frame for streamed video generation
• Outperforms smaller models in generating complex motion and detailed textures in videos

Krea WAN 14B API Pricing

• $0.02625 / sec (16 fps)

Key Features

• Real-time video generation with large-scale 14 billion parameter model
• Video-to-Video: Upload real videos for AI enhancement, style transfer, and editing
• Stable motion handling and high-frequency detail generation
• Memory and compute optimizations to enable practical high-resolution video generation in real time
• Support for long-form video content generation

Use Cases

• Creative video content generation for social media and marketing campaigns
• AI-driven video editing and style transfer for synthetic content creation
• Real-time video enhancement and restyling for webinars, presentations, and live streams
• Advertisement visuals with customizable artistic style and high detail
• Video-to-Video editing workflows allowing users to improve or transform existing video footage

Code Sample

Comparison with Other Models

vs Wan2.1 Turbo: Krea WAN 14B excels in real-time interactive video editing with autoregressive streaming, while Wan2.1 Turbo focuses on accelerated batch video generation at 720P resolution with diffusion transformer architecture. Wan2.1 Turbo is optimized for speed and affordability but lacks the interactive on-the-fly restyling and prompt modifications available in Krea WAN 14B.

vs StreamDiffusion: Krea WAN 14B demonstrates more stable motion and coherent long-term video structure with real-time prompt updates, whereas StreamDiffusion excels at color balance and artistic detail in video frames but with slower generation speed and less temporal stability.

vs Imagen Video: Krea WAN 14B prioritizes real-time, open-source, interactive video generation and editing with efficient inference on standard GPUs. Imagen Video focuses on ultra-high quality video synthesis with proprietary models but demands significantly higher computational resources, resulting in slower generation and no real-time interaction capabilities.