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
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
moondream1 is a tiny (1.6B parameter) vision language model trained by @vikhyatk that performs on par with models twice its size. It is trained on the LLaVa training dataset, and initialized with SigLIP as the vision tower and Phi-1.5 as the text encoder. https://huggingface.co/spaces/vikhyatk/moondream1