扩散模型（Diffusion Models）的出现，无疑为视觉生成领域带来了革命性的突破。它们以惊人的文本引导生成能力，让“所想即所得”的愿景越来越近。然而，仅仅依靠文本来控制这些模型，在许多复杂和多样化的应用场景中往往显得力不从心。毕竟，我们脑海中的创意和图像细节，有时是文字难以完全捕捉和表达的。比如，想要生成一个从未见过的人物，或者某种独特的艺术风格，单凭文本描述就可能陷入模糊。

New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...

Seasonal affective disorder (SAD) lamps have expanded far beyond mere medical devices designed to simulate sunlight. Today, they range from desk lights to alarm clocks and travel ...

The electronics and IT minister’s rebuttal at WEF Davos is rooted in hard data, puncturing the lazy notion that India remains ...

ASTANA – Countries across South and Central Asia are accelerating efforts to strengthen their artificial intelligence ...

Background Both host and microbe metabolism of tryptophan (Trp) is altered in diabetes; however, the molecular mechanisms are ...