Flux1-DedistilledMixTuned-V2

Introduction

Flux1-DedistilledMixTuned-V2 is a sophisticated model developed by Wikeeyang, designed to achieve photorealistic results. Released as a New Year 2025 offering, this model has undergone extensive training and fine-tuning to enhance detail, drawing speed, LoRA compatibility, and the harmony of light and shadows.

Architecture

The architecture of Flux1-DedistilledMixTuned-V2 builds upon its predecessor, v1.0, integrating enhancements for better performance in photorealism. Specific architectural details are not provided, but the focus is clearly on achieving a balance across various photorealistic attributes.

Training

Training for the V2.0 version involved over a month of iterative improvements. The process emphasized achieving a balance in critical aspects such as detail reflection, drawing speed, and light-shadow harmony, with a strong emphasis on LoRA compatibility.

Guide: Running Locally

To run Flux1-DedistilledMixTuned-V2 locally, follow these steps:

1. Clone the Repository: Use the repository link to clone the project to your local machine.
2. Install Dependencies: Ensure you have all necessary dependencies installed, possibly using package managers like pip.
3. Download the Model: Acquire the model files from Hugging Face or CivitAI.
4. Setup Environment: Configure your local environment with the appropriate settings for running the model.
5. Execute: Run the model using the provided scripts.

For optimal performance, especially for tasks requiring significant computational power, consider using cloud GPU services such as AWS, Google Cloud, or Azure.

License

The specific licensing information for Flux1-DedistilledMixTuned-V2 is not provided in the available documentation. It is recommended to check the repository or contact the author for detailed licensing terms.