NVIDIA Cosmos# Overview Introduction Cosmos-Predict1 Examples Cosmos-Predict1-7B-Text2World-Multiview Cosmos-Predict1-5B-Video2World Getting Started Workflow Cosmos-Transfer1 Examples Cosmos-Transfer1-7B Cosmos-Transfer1-7B [LiDAR|HDMap] Release Notes 1.1 1.0 Prerequisites Hardware Software NVIDIA NIM for Cosmos Cosmos-Predict1 Model Matrix World Foundation Models Tokenizers Installation Cosmos-Predict1 Setup Next Steps Diffusion Diffusion Quickstart Guide Set up the Diffusion Model Generate a Video from Text Input Next Steps Diffusion Model Post-Training Guide Setup Preparing a Dataset Post-Training Text2World Download the Sample Dataset Preprocess the Data Post-Train the Model Test Inference Video2World Download the Sample Dataset Preprocess the Data Post-train the Model Test Inference Text2World-Multiview Post-Train the Model Test Inference Video2World-Multiview Post-Train the Model Test Inference Diffusion Model Reference Model Types Sample Commands Text2World Downloading the Model Weights Single Generation Single Generation with Model Offloading Single Generation with Multi-GPU Inference Batch Generation Video2World Downloading the Model Weights Single Generation Single Generation with Model Offloading Single Generation with Multi-GPU Inference Batch Generation Batch Generation without Prompt Upsampling Text2World-Multiview Downloading the Model Weights Multiview Prompts Single Generation Single Generation with Model Offloading Single Generation with Multi-GPU Inference Batch Generation Video2World-Multiview Downloading the Model Weights Single Generation Single Generation with Model Offloading Single Generation with Multi-GPU Inference Batch Generation Arguments Common Parameters Video2World-Specific Parameters Prompting Guidelines Prompt Example Cosmos-Predict1-Prompt-Upsampler Text2World Video2World Safety Features Autoregressive Autoregressive Quickstart Guide Set up the Autoregressive Model Generate a Video using Video Input Next Steps Autoregressive Post-Training Guide Supported Models Setup Preparing a Dataset Post-Training Download the Sample Dataset Post-Train the Model Post-Train with a Single GPU (TP=1) Post-train with 4 GPUs (TP = 4) Test Inference Autoregressive Model Reference Model Types Single and Batch Generation Single Video Batch Video Text Prompt Sample Commands Base Downloading the Model Weights Single Generation Single Generation with Multi-GPU Inference Batch Generation Video2World Downloading the Model Weights Single Generation Single Generation with Multi-GPU Inference Batch Generation Arguments Common Parameters Base Specific Parameters Video2World Specific Parameters Safety Features Tokenizer Tokenizer Inference Guide Set up the Tokenizer Tokenizer Overview Examples Tokenizer Post-Training Guide Set up the Tokenizer Post-training a Tokenizer Download a Dataset Post-train the Video Tokenizers Inference with the Post-trained Model Checkpoint Cosmos-Transfer1 Installation Cosmos-Transfer1 Setup Next Steps Transfer Quickstart Guide Set up Cosmos Transfer1 Generate a Visual Simulation from Source Video Transfer Model Reference Sample Commands Edge Detection ControlNet Multi-GPU Inference Inference with Prompt Upsampling Batch Inference Multimodal Control Multimodal control with Spatiotemporal Control Map Autonomous Vehicle Transfer Multi-GPU Inference Additional AV Toolkits 4K Upscaling Multi-GPU Inference Arguments ControlNet Specification Prompting Guidelines Safety Features More Information Frequently Asked Questions Feedback and Support Cosmos Guardrail Overview Pre-Guard Post-Guard License
