Demo showcasing ~real-time Latent Consistency Model pipeline with Diffusers and a MJPEG stream server (https://github.com/radames/Real-Time-Latent-Consistency-Model)
Integrates Florence2 and SAM2 models for detailed image captioning and object detection. Florence2 generates detailed captions that are then used to perform phrase grounding. The Segment Anything Model 2 (SAM2) converts these phrase-grounded boxes into masks. https://huggingface.co/spaces/SkalskiP/florence-sam
Aplikasi ini digunakan untuk menghasilkan suara berbasis teks dengan berbagai pilihan pembicara. Teknologi yang digunakan meliputi model text-to-speech (TTS) yang canggih dengan konversi teks ke fonem. Model yang dipakai dilatih khusus untuk bahasa Indonesia, Jawa dan Sunda.
Langflow is a dynamic graph where each node is an executable unit. Its modular and interactive design fosters rapid experimentation and prototyping, pushing hard on the limits of creativity: https://github.com/langflow-ai/langflow