Detects objects in an image (Updated 1 year, 7 months ago)
Detects objects in an image
Lightweight multimodal model for visual question answering, reasoning and captioning
Generate videos from text prompts with Kandinsky-2.2
E5-mistral-7b-instruct language embedding model
Flux lora, use "CNSTLL" to trigger
Flux lora, use "in the style of FNTSYRCH" to trigger
Fast text-to-3D Gaussian generation by bridging 2D and 3D diffusion models
Detect everything with language!
Zero-shot speech synthesizer for text-to-speech and voice conversion
Image-Prompt Multi-view Diffusion for 3D Generation
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models
Realistic interior design with text and image inputs
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
LEdits++ for image editing
PyTorch version of Lightweight OpenPose as introduced in "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose"
Generating object-level shape variations with Stable Diffusion
Base version of Mamba 130M, a 130 million parameter state space language model
Base version of Mamba 1.4B, a 1.4 billion parameter state space language model
Base version of Mamba 2.8B, a 2.8 billion parameter state space language model
Mamba 2.8B state space language model fine tuned for chat
Base version of Mamba 2.8B Slim Pyjama, a 2.8 billion parameter state space language model
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
