【OpenAI Sora模型：1分钟视频生成耗时超1小时，引发关注】
OpenAI近日推出了一项创新技术——文本生成视频模型Sora，该模型能根据用户提供的提示词创造出逼真的视频内容。然而，这一先进技术的背后，也暴露出一些实际操作中的挑战。据Reddit社区网友的反馈，Sora在生成1分钟长度的视频时，其渲染时间竟超过1个小时，这一效率问题无疑为实际应用带来了不小的压力。
尽管Sora的视频生成能力在人工智能领域内引起了热议，但目前公众的体验范围仍有所限制。研究人员在展示Sora的能力时，主要依赖预先挑选的示例，并未开放自定义提示词的功能。这意味着用户无法自由创作，最长的公开演示视频也只有短短的17秒，这无疑引发了公众对于Sora实际应用潜力的疑问。
这一消息来源于IT之家，它揭示了Sora在追求视频质量与实时生成之间存在的平衡问题。尽管OpenAI的这一突破性技术在概念上令人惊叹，但在实际应用中，如何提高生成效率和用户体验，将是OpenAI未来需要解决的关键问题。随着人工智能技术的不断发展，我们期待Sora在未来能实现更快、更灵活的视频生成，以满足用户日益增长的需求。
英语如下：
**News Title:** “OpenAI’s New Model Sora: 1-Minute Video Rendering Takes Over an Hour, Sparking Debate on Speed”
**Keywords:** OpenAI Sora, video generation, rendering duration
**News Content:**
**OpenAI’s Sora Model: Over 1 Hour to Render 1 Minute of Video, Drawing Concerns**
OpenAI recently unveiled an innovative technology, the text-to-video generation model Sora, which creates realistic video content based on user-provided prompts. However, this advanced technology also reveals practical challenges in its application. According to feedback from the Reddit community, the rendering time for Sora to generate a 1-minute video exceeds 1 hour, posing a significant issue for practical usage.
While Sora’s video generation capabilities have sparked discussion within the AI industry, the public’s experience with it remains limited. Researchers have primarily showcased Sora’s abilities using pre-selected examples and have not enabled the option for custom prompts. This restriction prevents users from creating freely, with the longest publicly demonstrated video being only 17 seconds. This has raised questions about Sora’s practical potential.
The information, sourced from IT Home, highlights the balance issue Sora faces between video quality and real-time generation. Despite the groundbreaking nature of OpenAI’s technology, the company will need to address efficiency and user experience improvements in the future. As AI technology continues to evolve, there is hope that Sora will eventually enable faster and more flexible video generation to cater to growing user demands.
【来源】https://www.ithome.com/0/751/364.htm
Views: 1