wavespeed-ai/wan-2.1/t2v-480p-ultra-fast

The Wan2.1 14B model is an advanced text-to-video model that offers accelerated inference capabilities, enabling high-res video generation with high visual quality and motion diversity

text-to-video

Whether to enable the safety checker.

Idle

https://d2g64w682n9w0w.cloudfront.net/media/images/1745139282990424028_5kVSOLIF.webp

Your request will cost $0.125 per video,
For $1 you can run this model approximately 8 times.

README

Wan-2.1/T2V-480p-Ultra-Fast is an open-source AI video generation model developed by Alibaba Cloud, designed for text-to-video tasks. The 14-billion-parameter professional version excels in generating complex motions and simulating physical dynamics, delivering exceptional performance. Built upon a causal 3D Variational Autoencoder (VAE) and Video Diffusion Transformer architecture, Wan-2.1/T2V-480p-Ultra-Fast efficiently models spatiotemporal dependencies. In the authoritative VBench evaluation, the 14B version achieved a leading score of 86.22%, surpassing models like Sora, Luma, and Pika, and securing the top position. The model is available on Wavespeed AI, providing convenient access for developers.Leveraging cutting-edge acceleration techniques, Wan-2.1/T2V-480p-Ultra-Fast pushes the limits of rapid video synthesis for creative and practical applications.

Key Features

  • Ultra-Fast Inference:Enhanced with cutting-edge acceleration methods, this model delivers substantially faster video generation compared to the standard 480p version, reducing latency for time-sensitive tasks.
  • High-Quality 480p Video Output:Capable of producing sharp and coherent 480p videos from textual prompts, ensuring superior visual quality and motion consistency.
  • Multilingual Visual Text Generation:Supports the generation of text within videos in both Chinese and English, expanding its applicability across diverse linguistic contexts.
  • Efficient Video VAE:Integrates a powerful variational autoencoder (VAE) that efficiently encodes and decodes videos while preserving temporal information, facilitating high-quality video synthesis.
  • Consumer-Grade GPU Compatibility:Optimized to run on widely available consumer-grade GPUs, requiring only 8.19 GB of VRAM, thus ensuring broad accessibility for developers and creators.

ComfyUI

Wan-2.1/T2V-480p-Ultra-Fast is also available on ComfyUI, providing local inference capabilities through a node-based workflow, ensuring flexible and efficient image generation on your system.

Limitations

  • Creative Focus: Designed primarily for creative video synthesis from text; not intended for generating factually accurate or reliable content.
  • Inherent Biases: As with any data-driven model, outputs may reflect biases present in the training data.
  • Input Sensitivity: The quality and consistency of generated videos depend significantly on the quality of the input text; subtle variations may lead to output variability.
  • Resolution Limitation: This model is optimized for 480p video generation and does not support higher resolutions like 720p.

Out-of-Scope Use

The model and its derivatives may not be used in any way that violates applicable national, federal, state, local, or international law or regulation, including but not limited to:

  • Exploiting, harming, or attempting to exploit or harm minors, including solicitation, creation, acquisition, or dissemination of child exploitative content.
  • Generating or disseminating verifiably false information with the intent to harm others.
  • Creating or distributing personal identifiable information that could be used to harm an individual.
  • Harassing, abusing, threatening, stalking, or bullying individuals or groups.
  • Producing non-consensual nudity or illegal pornographic content.
  • Making fully automated decisions that adversely affect an individual’s legal rights or create binding obligations.
  • Facilitating large-scale disinformation campaigns.

Accelerated Inference

Our accelerated inference approach leverages advanced optimization technology from WavespeedAI. This innovative fusion technique significantly reduces computational overhead and latency, enabling rapid image generation without compromising quality. The entire system is designed to efficiently handle large-scale inference tasks while ensuring that real-time applications achieve an optimal balance between speed and accuracy. For further details, please refer to the blog post.