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上海的陆家嘴
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伦敦——Stability AI 近日宣布推出其第三代图像生成模型 Stable Diffusion 3,这一最新技术在文字理解能力、多主题提示处理和图像生成质量上实现了显著提升,标志着人工智能在图像创作领域的又一重大突破。根据官方展示的样例,新模型生成的图像效果可与Midjourney媲美,部分领域甚至展现出超越性的表现。

Stability Diffusion 3 模型的参数选择范围广泛,从800兆到80亿不等,这为用户提供了更大的灵活性和定制化空间。尽管详细的技术报告尚未公开,但Stability AI 已透露模型的核心在于融合了扩散型Transformer架构(DiT)和Flow matching技术,这两种先进技术的结合旨在优化模型的生成效率和图像的真实感。

据量子位报道,Stable Diffusion 3 的发布将进一步推动人工智能在艺术、设计和创意产业的应用,为专业人士和业余爱好者提供更强大、更直观的工具,以实现基于文本的图像创作。这一进展预示着AI在图像生成领域的未来将更加广阔,同时也可能对传统图像制作方式带来深远影响。

英语如下:

News Title: “Stability AI Launches Stable Diffusion 3: A New Leap in Image Generation Technology, Challenging Midjourney’s Visual Feast”

Keywords: Stability AI, Stable Diffusion 3, Image Generation

News Content:

**London** — Stability AI recently announced the release of its third-generation image generation model, Stable Diffusion 3, marking a significant advancement in text-to-image rendering and image quality. This cutting-edge technology demonstrates improved understanding of text, handling of multiple prompts, and the generation of high-quality images, signifying another major breakthrough in AI’s role in image creation. According to official samples, the model’s output can rival that of Midjourney, with exceptional performance in certain aspects.

The Stable Diffusion 3 model offers a wide range of parameter options, from 800 million to 8 billion, providing users with greater flexibility and customization. Although a detailed technical report is yet to be released, Stability AI has disclosed that the model’s core lies in the fusion of Diffusion-In-Transformer (DiT) architecture and Flow matching technology. This combination aims to optimize the model’s generation efficiency and enhance the realism of the produced images.

As reported by Quantum Bit, the launch of Stable Diffusion 3 is set to propel AI’s application in the fields of art, design, and creative industries, offering professionals and hobbyists more powerful and intuitive tools for text-based image creation. This development foreshadows a broader future for AI in image generation and could have profound implications on traditional image production methods.

【来源】https://www.qbitai.com/2024/02/122881.html

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