ControlNet-v1-1

Introduction

ControlNet-v1-1 is a model available on Hugging Face, created by the user lllyasviel. The repository includes model files and related resources. It is currently under development, with more detailed information to be added after the official merge into ControlNet.

Architecture

The architecture details are not fully documented in the current README. Further architectural insights will be provided once version 1.1 is officially integrated.

Training

Information regarding the training process of ControlNet-v1-1 is not yet available. Updates will be shared upon the completion and release of version 1.1.

Guide: Running Locally

To run ControlNet-v1-1 locally, follow these basic steps:

1. Clone the Repository:

   git clone https://github.com/lllyasviel/ControlNet-v1-1-nightly.git
   

2. Navigate to Directory:

   cd ControlNet-v1-1-nightly
   

3. Install Required Dependencies: Ensure all necessary libraries and dependencies are installed. This might include packages like PyTorch, Transformers, etc.

   pip install -r requirements.txt
   

4. Run the Model: Execute the model with your desired input configurations.

For better performance, especially in training and inference, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure.

License

ControlNet-v1-1 is released under the OpenRAIL license, which allows for open use while adhering to specified terms and conditions.