Wan 2.2 T2V Fast

A fast and cost-effective text-to-video generation model.

Model Overview

A highly optimized and fast text-to-video generation model, based on Wan 2.2 A14B, designed for efficient inference.

Best At

Generating videos quickly and affordably from text prompts. Ideal for rapid prototyping and content creation where speed is a priority.

Limitations / Not Good At

While fast, it may not offer the absolute highest fidelity or most complex cinematic quality compared to slower, larger models. Specific artistic nuances or extremely long, coherent narratives might be challenging.

Ideal Use Cases

• Creating short video clips for social media.
• Generating illustrative videos for blog posts or presentations.
• Rapidly visualizing concepts from text descriptions.
• Prototyping video ideas before investing in higher-end production.

Input & Output Format

• Input: Text prompt, with optional parameters for optimization, number of frames, aspect ratio, resolution, frames per second, and LoRA weights.
• Output: Video file (MP4 format, typically returned as a URI).

Performance Notes

This model is specifically optimized for speed and cost-efficiency, making it significantly faster than many other text-to-video models. The go_fast parameter further enhances its speed.