Demo showcasing ~real-time Latent Consistency Model pipeline with Diffusers and a MJPEG stream server (https://github.com/radames/Real-Time-Latent-Consistency-Model)
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