OpenMOSS just released MOSS-Image, a lightweight 5-billion-parameter text-to-image model built for consumer GPUs under an Apache 2.0 license. It excels at drawing bounding boxes for precise composition and rendering clean text within scenes, though it currently lacks support for natural language image editing.
OpenMOSS just open-sourced MOSS-VL-Realtime, an 11B parameter vision-language model tailored for live streaming video. Instead of waiting for an entire clip to load before answering, it processes incoming frames on the fly, allows users to interrupt with questions at any timestamp, and stays silent when visual evidence is insufficient.
OpenMOSS just open-sourced the MOSS-TTS family, a versatile speech suite that clones voices from just a few seconds of reference audio. The lineup ranges from multi-speaker dialogue and voice design to ultra-low-latency streaming, with 8B and 1.7B checkpoints readily deployable on local GPUs.
OpenMOSS just released MOVA, an open-source model that generates high-fidelity video and synced audio in a single pass. It runs on a 32B MoE architecture with 18B active parameters, handling precise lip-sync without stitching separate models together. Weights are live on GitHub and Hugging Face, though the 720p version requires serious GPU muscle.
