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, Apache Cassandra should be more popular than Prisma. It has been mentiond 44 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.
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 2 years ago
Perhaps, or they just used an app like Prisma to add that “painting” effect. Source: about 3 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 3 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 4 years ago
Thanks - I made it on my android phone using Prisma and Snapseed. Source: almost 4 years ago
In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 12 days ago
All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / 6 months ago
Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 10 months ago
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / 12 months ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
Deepart.io - Artificial intelligence turning your photos into art
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Deep Dream Generator - Create inspiring visual content in a collaboration with our AI enabled tools.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Deep Art Effects - Deep Art Effects transforms your photos and videos into works of neural art using artistic style transfer of famous artists.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.