Introduction

The FLUX1_DEV model, developed by lllyasviel, is hosted on Hugging Face under the flux-1-dev-non-commercial-license. This project is a duplicate of the Comfy-Org/flux1-dev and is intended for non-commercial use.

Architecture

The architecture details of the FLUX1_DEV model are not explicitly outlined in the provided documentation. Users are encouraged to explore the model's code and structure directly through the Hugging Face repository to understand its specifics.

Training

Information regarding the training process or datasets used for FLUX1_DEV is not included in the summary. Users interested in these details should refer to the complete model documentation or contact the model creators.

Guide: Running Locally

To run the FLUX1_DEV model locally, the following steps are suggested:

  1. Clone the Repository: Clone the flux1_dev repository from Hugging Face.
  2. Install Dependencies: Ensure all necessary libraries and dependencies are installed. This may include frameworks such as PyTorch or TensorFlow.
  3. Download Model Weights: Obtain the model weights from the Hugging Face model hub.
  4. Execute the Model: Use the downloaded weights to initialize and run the model locally on your machine.

To optimize performance, it is advisable to use cloud GPUs. Providers like AWS, Google Cloud, or Azure offer powerful GPU instances that can enhance model execution speed and efficiency.

License

The FLUX1_DEV model is distributed under the flux-1-dev-non-commercial-license. For full licensing details, refer to the license document provided by Hugging Face.

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