Depth Anything V2 safetensors

Introduction

The DepthAnythingV2-safetensors model by Kijai is a version of the DepthAnythingV2 models optimized in the safetensors format. This model provides improved safety and efficiency for handling large models and is available on Hugging Face.

Architecture

The model architecture details are based on the DepthAnythingV2 framework, which enhances depth estimation capabilities. The safetensors format is used to ensure secure and fast data handling, especially beneficial for deployment in various environments.

Training

This section would typically describe the dataset, methodology, and parameters used for training the DepthAnythingV2 model. However, specific details about the training process are not provided in the document.

Guide: Running Locally

To run the DepthAnythingV2-safetensors model locally:

1. Clone the Repository: Access the model files from the Hugging Face repository or the provided GitHub link.
2. Install Dependencies: Ensure all necessary dependencies and libraries are installed, which can be found in the repository documentation.
3. Set Up Environment: Configure your environment to support safetensors and the DepthAnythingV2 model.
4. Execute the Model: Use provided scripts or integration with ComfyUI for running the model.

For enhanced performance, consider using cloud GPUs from platforms like AWS, Google Cloud, or Azure, which support large-scale model deployments.

License

The DepthAnythingV2-safetensors model is licensed under the Creative Commons Attribution 4.0 International License (cc-by-4.0). This allows for sharing and adaptation with appropriate credit.