Search Results for "clip"

CLIP-as-service is a low-latency high-scalability service for embedding images and text. It can be easily integrated as a microservice into neural search solutions. Serve CLIP models with TensorRT, ONNX runtime and PyTorch w/o JIT with 800QPS[*]. Non-blocking duplex streaming on requests and responses, designed for large data and long-running tasks.

...It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior network is needed after all. And so research continues. For simpler training, you can directly supply text strings instead of precomputing text encodings. (Although for scaling purposes, you will definitely want to precompute the textual embeddings + mask)

...This program makes it possible to monitor the server while browsing the web or even while away from the computer entirely. The program sends a notification popup to the OS when the server is active with players and also plays a short beep audio clip to get your attention if you are away from the computer. By entering your ut player name into the program you can ensure the program will not be triggered by your presence on the server, so you can join the server and safely minimize until another player joins without worrying about missing the moment when they join the server.