Prisma AI is a computer vision and AI company that specializes in developing deep learning algorithms for image and video processing. It offers a range of products for object recognition, image and video classification, and style transfer. Many users have praised its ease of use and accurate results. However, like any technology, it has its limitations and may not always provide the best results for all use cases.
Based on our record, Prisma should be more popular than NHibernate. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Traditionally, building business processes involves a highly database-centric approach. Development typically begins with a comprehensive database design, setting up schemas and tables before moving on to create classes and properties. These classes would then map to the database schema using Object-Relational Mappers (ORMs) like Entity Framework, NHibernate or Dapper. This method, while effective, often leads to... - Source: dev.to / 10 days ago
What if I just want to make a few? However if you're hoping to do this just for a few images then there are some very low cost apps (often free if you plan it right) which use Stable Diffusion and Dreambooth in the background to produce the personalised images. One such example is Lensa. Source: about 1 year ago
Perhaps, or they just used an app like Prisma to add that “painting” effect. Source: about 2 years ago
I had to deal with this more in Rails whereas in Node/Apollo, using Prisma made composing efficient/perform ant SQL queries trivial: https://www.prisma.io/. Source: over 2 years ago
I really liked this wallpaper by /u/MadDaz and I tried using style transfers using prisma-ai.com to generate images a bit more abstract. Here are the results! Source: almost 3 years ago
Thanks - I made it on my android phone using Prisma and Snapseed. Source: almost 3 years ago
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