Multimodal Language Model
Decode images to teacher model outputs
Tag images with labels
Recognize micro-expressions in images
Use hand gestures to type on a virtual keyboard
Rate quality of image edits based on instructions
Display a heat map on an interactive map
Tag images to find ratings, characters, and tags
Display interactive UI theme preview with Gradio
Enhance faces in images
FitDiT is a high-fidelity virtual try-on model.
Art Institute of Chicago Gallery
Evaluate anime aesthetic score
Mantis is a multimodal language model designed to interact with both text and images. It enables users to chat and analyze images through a conversational interface, making it a versatile tool for tasks that require visual understanding and text-based interaction.
• Multimodal Interaction: Combines text and image understanding for comprehensive interactions. • Conversational AI: Engage in natural-sounding conversations with the model. • Image Analysis: Capable of interpreting and responding to image content. • Contextual Understanding: Maintains context during conversations for more meaningful interactions. • Scalability: Can be adapted for various applications requiring image-text interactions.
What types of images can Mantis analyze?
Mantis can analyze a wide range of images, including photos, diagrams, and illustrations, to provide relevant insights and responses.
How long does it take for Mantis to respond?
Response times vary depending on the complexity of the query and the size of the input. Generally, responses are generated within a few seconds.
Can I use Mantis for everyday tasks?
Yes! Mantis is designed to assist with everyday tasks, such as explaining concepts in images, providing visual descriptions, or even offering creative suggestions based on visual content.