随着AI图像生成技术的快速发展，各类图像生成应用在商业领域的应用不断深化。2024年，AI图像生成技术达到了一个新的高度，从Midjourney v6的史诗级更新、开源巨头Stable Diffusion 3的引领风骚到DALL・E 3凭借ChatGPT的助力，国内外的AI图像生成技术都在不断突破，为用户带来前所未有的创新体验。
在这一背景下，国产大模型“顶流”——字节跳动的豆包大模型，以其卓越的技术实力和丰富的应用场景，成为国内日均tokens使用量超过5000亿的佼佼者。豆包大模型家族的最新成员——“豆包・图生图模型”正式亮相，一口气上新了50多项玩法，进一步丰富了AI图像生成的边界。
豆包大模型自今年5月通过火山引擎正式对外提供服务以来，凭借其强大的技术实力和广泛的应用场景，已经成为国内使用量最大、应用场景最丰富的国产大模型之一。在最新的火山引擎AI创新巡展成都站活动中，豆包大模型团队公布了最新的进展和升级，包括文生图模型、语音模型等垂直模型，以及“豆包・图生图模型”的发布，这标志着豆包大模型在AI图像生成领域的又一重大突破。
“豆包・图生图模型”的上新，不仅展现了豆包大模型在AI图像生成领域的技术实力，更体现了其对用户需求的深度理解和持续创新的能力。无论是从图像美感、图文一致性、内容创造，还是复杂度适应性等维度，豆包・文生图模型都达到了业界较高的水准。特别在“图文匹配”维度上，豆包・文生图模型能够精准理解多数量主体、主客体关系、人物构造和空间构造等信息，以及在“画面效果美感”层面，通过光影明暗、氛围色彩和人物美感的提升，为用户带来高质量的视觉体验。
此外，豆包・文生图模型还展现了对中文元素的深刻理解，无论是唐代的长安、元宵节夜市的灯火辉煌，还是国风水墨绘画的点彩与肌理，都能准确捕捉并还原，展现其对不同文化元素的精准把握。同时，面对英文Prompt，豆包・文生图模型也能精准理解，展现出其在全球化语境下的应用潜力。
豆包大模型的这些创新和突破，不仅体现了中国AI技术在图像生成领域的领先地位，也为用户带来了更加丰富、高质量的AI图像生成体验，标志着中国AI图像生成技术正向着更深层次、更广泛的应用领域迈进。
英语如下：
### Beanbag MegaModel: A Leap Forward in AI Image Generation
With the rapid evolution of AI image generation technology, applications in the commercial sector are increasingly sophisticated. In 2024, AI image generation technology reached a new pinnacle, from the monumental update of Midjourney v6, the leading open-source powerhouse Stable Diffusion 3, to the DALL・E 3’s advancement with the support of ChatGPT. Both domestic and international AI image generation technologies are continuously pushing boundaries, delivering unprecedented innovation experiences to users.
In this context, China’s premier large model, the Beanbag MegaModel from ByteDance, stands out with its exceptional technical prowess and diverse applications. It has become a leader, processing over 500 billion tokens daily, in the domestic market. The latest addition to the Beanbag family, the “Beanbag Image-to-Image Model,” made its debut, introducing 50 new features, further expanding the horizons of AI image generation.
Since its official launch through Volcano Engine in May, the Beanbag MegaModel, leveraging its robust technology and broad range of applications, has established itself as one of the most widely used and application-rich Chinese large models. At the most recent Volcano Engine AI Innovation Expo in Chengdu, the Beanbag team shared their latest advancements and upgrades, including text-to-image models, voice models, and the unveiling of the “Beanbag Image-to-Image Model,” marking a significant breakthrough in the AI image generation field.
The introduction of the “Beanbag Image-to-Image Model” not only highlights the technical prowess of the Beanbag MegaModel in AI image generation but also underscores its deep understanding of user needs and commitment to continuous innovation. Whether it’s from the perspective of image aesthetics, text-image consistency, content creation, or adaptability to complexity, the Beanbag Text-to-Image Model achieves a high standard in the industry. Notably, in the “text-image matching” dimension, the Beanbag Text-to-Image Model precisely interprets information such as the number of subjects, subject-object relationships, character construction, and spatial construction, as well as enhancing visual effects through improvements in lighting, color atmosphere, and character aesthetics, providing high-quality visual experiences to users.
Moreover, the Beanbag Text-to-Image Model demonstrates a profound understanding of Chinese elements, accurately capturing and reproducing elements from the Tang Dynasty’s Chang’an and the dazzling lantern festival night markets, as well as the intricate brushwork and texture of Chinese watercolor paintings. It also shows a precise grasp of different cultural elements. In response to English prompts, the Beanbag Text-to-Image Model accurately interprets, showcasing its potential in a global context.
These innovations and breakthroughs from the Beanbag MegaModel not only highlight China’s leading position in AI technology in image generation but also deliver a richer, high-quality AI image generation experience to users. This signifies that Chinese AI image generation technology is advancing towards more profound and extensive application domains.
【来源】https://www.jiqizhixin.com/articles/2024-07-29-5
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