Harmoniq Mix_v Pred_v3.x

Introduction

HarmoniqMix_vPred_v3.x is a text-to-image model designed for generating images using the V-Prediction technique. It supports stable diffusion, including the XL version, and is primarily focused on Japanese language applications.

Architecture

The model is a merged version of several base models, including:

• Laxhar/noobai-XL-Vpred-1.0 and Vpred-0.9r
• comin/IterComp
• paruparu95483/paruparu_illustrious
• SPO-Diffusion-Models/SPO-SDXL_4k-p_10ep_LoRA

These models contribute to a robust generation process, enabling high-quality image outputs.

Training

The model's architecture is built by merging various V-Prediction capable models. The merging process involves adjusting weights to enhance performance, specifically with the NoobAI-XL V-Pread updated to version 1.0. The model's development and refinement continue through community collaboration and updates.

Guide: Running Locally

To run the HarmoniqMix_vPred_v3.x model locally:

1. Install Dependencies: Ensure you have a suitable Python environment and install necessary libraries such as PyTorch and Hugging Face Transformers.
2. Clone the Repository: Download the model files from the Hugging Face model hub.
3. Set Up ComfyUI: Use a user interface compatible with V-Prediction models, like ComfyUI for better control and visualization.
4. Load the Model: Initialize the model using a compatible script or interface.
5. Generate Images: Input text prompts to generate images.

Cloud GPUs are recommended for efficient processing, such as those available on Google Cloud Platform or AWS.

License

The model is distributed under the Fair AI Public License 1.0-SD. It inherits the licenses of its merged components, including Apache 2.0. Ensure that you include information about the merging sources when redistributing the model. More details can be found at Fair AI Public License 1.0-SD.