Seed 2.0 Mini is a high-performance multimodal model optimized for low latency and high concurrency. It supports text, image, and video input with 256K context and configurable thinking/reasoning modes.

Moondream2 is a highly efficient open-source vision language model that combines powerful image understanding capabilities with a remarkably small footprint.

Moondream 3 is a vision language model that brings frontier-level visual reasoning with native object detection, pointing, and OCR capabilities to real-world applications requiring fast, inexpensive inference at scale.

LongCat-Video-Avatar is an audio-driven video generation model that can generates super-realistic, lip-synchronized long video generation with natural dynamics and consistent identity.

Generate video with audio from audio, text and images using LTX-2

Vision

Generate video prompts using a variety of techniques including camera direction, style, pacing, special effects and more.

Generate high-quality video with audio from audio, text and images using LTX-2.3

Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks

Generate video with audio from audio, text and images using LTX-2 Distilled

PixVerse VibeMV generates music videos from audio, with optional character references and lyric subtitles. It supports visual style presets, custom style references, five aspect ratios, and output at 720p or 1080p.

Isaac-01 is a multimodal vision-language model from Perceptron for various vision language tasks.

Marlin is a 2B video VLM tuned for the two questions developers actually want to ask of their videos: what is happening, and when?

Sa2VA is an MLLM capable of question answering, visual prompt understanding, and dense object segmentation at both image and video levels

EchoMimic V3 generates a talking avatar model from a picture, audio and text prompt.

Sa2VA is an MLLM capable of question answering, visual prompt understanding, and dense object segmentation at both image and video levels

SAM 3 is a unified foundation model for promptable segmentation in images and videos. It can detect, segment, and track objects using text or visual prompts such as points, boxes, and masks.

Generate high-quality videos with UGC-like avatars from audio

Moondream2 is a highly efficient open-source vision language model that combines powerful image understanding capabilities with a remarkably small footprint.

ffmpeg utility to interleave videos

Sa2VA is an MLLM capable of question answering, visual prompt understanding, and dense object segmentation at both image and video levels

LongCat-Video-Avatar is an audio-driven video generation model that can generates super-realistic, lip-synchronized long video generation with natural dynamics and consistent identity.

Marlin is a 2B video VLM tuned for the two questions developers actually want to ask of their videos: what is happening, and when?

MoonDreamNext Batch is a multimodal vision-language model for batch captioning.