Vision

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

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

Choose the Nth image from an image URL list for workflows.

Meshy 6 Lite retexture applies new textures to an existing 3D model from a text prompt or a reference image, with optional PBR maps.

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

Meshy 6 retexture applies new textures to an existing 3D model from a text prompt or a reference image, with optional PBR maps.

Split a 3D model into parts with Hi3D.

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

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.

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

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

Texture an existing geometry mesh using a reference image with Hi3D.

SAM 3D enables full scene reconstructions, placing objects and humans in a shared context together.

Convert a textured 3D model into a multicolor model suited for multicolor 3D printing with Hi3D.

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.

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

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

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

Explore interactive worlds in real time with movement and camera controls.

Explore interactive worlds in real time with movement and camera controls.

Direct continuous, realtime video streams with live prompts while preserving characters, settings, and story continuity.