Blaze.1-Portrait Open-Source Portrait Generator - Freely Generate High-Quality Realistic Ultra-Clear Portraits!

Blaze.1 Portrait

Developed by strangerzonehf

An adapter based on flux technology, specifically designed for generating high-quality ultra-realistic portraits. Rigorous training with diverse image sets ensures outstanding performance in portrait generation.

Image Generation Open Source License:Other #Realistic portrait generation #High-fidelity LoRA #Professional-grade portraits

Downloads 17

Release Time : 1/12/2025

Model Overview

Blaze.1 Portrait is an advanced LoRA adapter model focused on generating high-quality realistic portrait images. Developed based on the Flux.1 Fusion Edition, it achieves high-fidelity image generation through carefully selected training data and optimized parameters.

Model Features

High-fidelity portrait generation

Trained on 1,080 base images and variant extensions to achieve ultra-realistic portrait generation capabilities

Precise parameter optimization

Trained with 14-bit raw uncompressed camera format images, fine-tuned with learning rate schedulers, noise offsets, and other parameters

Diverse variant support

Each variant includes 72 variations, totaling a training set of 1,080 images to ensure generation diversity

Professional hardware acceleration

Trained using high-end hardware like NVIDIA A100 SXM (dual GPUs) to ensure model performance

Model Capabilities

Realistic portrait generation

High-resolution image output

Precise control of detailed features

Multi-angle character representation

Use Cases

Digital art creation

Character portrait generation

Generate portraits of various styles based on text descriptions

Examples showcase realistic portraits with different hairstyles, clothing, and backgrounds

Advertising design

Product model presentation

Quickly generate model images that align with product positioning

Allows precise control over details such as clothing and accessories

🚀 Blaze.1 Portrait Image Fidelity `[ Base Flux.1 Merged ]`

Blaze.1 Portrait is a flux - based adapter crafted to generate high - quality, realism - driven super - portraits. It was rigorously trained with a diverse image set, guaranteeing excellent results in portrait generation.

🚀 Quick Start

To generate images using Blaze.1 Portrait, simply include the trigger phrase b1 portrait in your prompts. This ensures optimal model performance and high - quality portrait generation.

✨ Features

High - Quality Output: Generates high - quality, realism - driven super - portraits.
Diverse Training: Trained with a diverse set of 72 variations and 1080 images per variation.
Advanced Image Processing: Utilizes specific image processing parameters for better results.

📦 Installation

No installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

Basic Usage

@misc{strangerzonehf2024blaze1,
    title={Blaze.1 Portrait: High - Quality Realism - Driven Portrait Generation with Flux - Based LoRA Adapter}, 
    author={StrangerzoneHF},
    year={2024},
    note={public model repository on Hugging Face},
    url={https://huggingface.co/strangerzonehf/Blaze.1 - Portrait},
    model_trainer={@prithivMLmods},
    dataset_curator={@prithivMLmods}

📚 Documentation

Image Processing Parameters

Property	Details
LR Scheduler	Constant
Optimizer	AdamW
Network Dim	64
Network Alpha	32
Epoch	45
Noise Offset	0.03
Multires Noise Discount	0.1
Multires Noise Iterations	10
Repeat & Steps	30 & 38,000
Save Every N Epochs	1

The model was trained with 1080 images, repeated to create a total dataset of 1100 repetitions per image. Training was conducted for 4 epochs per set, resulting in 38,000 steps, using the image labeler Florence2 - en (natural language & English).

Dataset Details

The dataset is composed of highly realistic images, carefully curated for optimal model performance. Smaller adapter versions were first trained on batches, and high - resolution images were then generated from these adapters for further training. Pre - training upscaling techniques were used to enhance pixel clarity, ensuring superior image fidelity during model inference.

Image compression details:

Minimum compression: 1.4 MB
Maximum compression: 10.1 MB
Average compression: 3.2 MB

Training Infrastructure

Blaze.1 Portrait was trained using top - notch hardware:

GPU Configuration: NVIDIA A100 SXM (2x)
vCPU: 32 cores
VRAM: 160 GB
RAM: 250 GB
Disk Space: 400 GB
Network Memory: High - speed interconnects for efficient data transfer

Training Runtime

Total machine runtime: 8 hours 14 minutes

Trigger Words

Use the trigger phrase b1 portrait to generate images with Blaze.1 Portrait.

Download Model

The weights for Blaze.1 Portrait are available in Safetensors format. You can download them from the Files & Versions tab using the [Download Blaze.1 Portrait Weights](/strangerzonehf/Blaze.1 - Portrait/tree/main) link.

📄 License

This model is under the flux - 1 - dev - non - commercial - license. You can find more details at [license link](https://huggingface.co/black - forest - labs/FLUX.1 - dev/blob/main/LICENSE.md).

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