Anime Pro F L U X

Introduction

AnimePro FLUX is a fine-tuned model designed to generate high-quality anime art without the licensing restrictions typically associated with other versions. It provides a balance between detail and speed, optimized for generating large images efficiently.

Architecture

AnimePro FLUX is based on the Flux.1 Shnell model and uses quantization techniques to enhance performance on consumer-grade hardware. It integrates a de-distillation process that refines images without altering their composition after a certain number of steps.

Training

The model has been fine-tuned using a unique method that bypasses some limitations of the schnell-series models, resulting in improved detail and color quality. It was trained on a dataset from KBlueLeaf/danbooru2023-webp-4Mpixel using powerful 4xA100-80G machines provided by ShuttleAI. Training incorporated a special technique to enhance details and colors, making it preferable to other DEV and PRO models.

Guide: Running Locally

1. Environment Setup:

   • Ensure you have a compatible environment with Python and necessary libraries installed.
   • Install the diffusers library.

2. Download Model:

   • Access the model files from the Hugging Face repository.

3. Run Inference:

   • Load the model and use it to generate images with your desired prompts.
   • For optimal performance, use a GPU like NVIDIA RTX 3090.

4. Cloud GPUs Suggestion:

   • Consider using cloud services offering GPUs, such as AWS EC2 with NVIDIA GPUs, for enhanced performance and speed.

License

AnimePro FLUX is released under the Apache 2.0 license, permitting both personal and commercial use of the model.