Nov. 18, 2023, 9:06 p.m. | Mohammad Arshad

MarkTechPost www.marktechpost.com

Latent Diffusion Models are generative models used in machine learning, particularly in probabilistic modeling. These models aim to capture a dataset’s underlying structure or latent variables, often focusing on generating realistic samples or making predictions. These describe the evolution of a system over time. This can refer to transforming a set of random variables from […]


The post This AI Paper Introduces LCM-LoRA: Revolutionizing Text-to-Image Generative Tasks with Advanced Latent Consistency Models and LoRA Distillation appeared first on MarkTechPost.

advanced aim ai paper applications artificial intelligence computer vision dataset diffusion diffusion models distillation editors pick evolution generative generative models image latent diffusion models lcm-lora lora machine machine learning making modeling paper predictions probabilistic modeling staff tasks tech news technology text text-to-image variables

More from www.marktechpost.com / MarkTechPost

Machine Learning Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, Ca

Team Lead Data Integrity

@ Maximus | Remote, United States

Machine Learning Research Scientist

@ Bosch Group | Pittsburgh, PA, United States

Data Engineer

@ Autodesk | APAC - India - Bengaluru - Sunriver

Data Engineer II

@ Mintel | Belfast

Data Engineer

@ Vector Limited | Auckland, New Zealand