Black-of-Art-Flux Open-Source Image Generation Model - Generate Unique Black-and-White Artistic Images for Free

Black Of Art Flux

Developed by strangerzonehf

A LoRA model trained on the FLUX.1-dev base model, specializing in generating black and white artistic style images

Image Generation Open Source License:Other #Black and white art style #High contrast image generation #LoRA fine-tuned diffusion model

Downloads 69

Release Time : 3/25/2025

Model Overview

This is a text-to-image LoRA model based on a diffusion model, specifically designed for generating high-quality black and white artistic images. The model activates stylistic features using the trigger word 'black art' and is suitable for artistic creation and design scenarios.

Model Features

Black and white art style

Specially trained to generate images with strong black and white contrast and artistic feel

LoRA fine-tuning

Lightweight fine-tuning based on the FLUX.1-dev base model, enhancing specific styles while retaining the base model's capabilities

Trigger word control

Using 'black art' as a trigger word activates the model's specific style generation capability

Multi-size support

Supports multiple output sizes, especially the recommended ratios of 1280×832 (3:2) and 1024×1024 (1:1)

Model Capabilities

Text-to-image

Art style transfer

Black and white image generation

High contrast image generation

Use Cases

Artistic creation

Portrait art

Generate artistic black and white portrait photos

As shown in the example image of a dark-haired woman leaning against a wall

Sports scenes

Create black and white sports-themed artworks

As shown in the example painting of a baseball player

Urban life

Depict urban life through black and white artistic images

As shown in the example telephone scene photo

Music scenes

Create black and white artistic images of music themes like jazz

As shown in the example photo of jazz bar musicians

🚀 Black-of-Art-Flux

This project, Black-of-Art-Flux, is a text - to - image model based on LoRA and Diffusers. It can generate high - quality black - and - white art images according to specific prompts, offering a unique artistic style.

🚀 Quick Start

Setting Up

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "strangerzonehf/Black-of-Art-Flux"
trigger_word = "Black of Art"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Trigger words

You should use Black of Art to trigger the image generation.

✨ Features

Text - to - Image Generation: Generate black - and - white art images based on text prompts.
LoRA Integration: Utilize LoRA technology to fine - tune the base model for better performance.
Diffusers Library: Built on the Diffusers library, providing a flexible and efficient framework.

📦 Installation

The installation process is mainly reflected in the code setup above. You need to have Python installed, along with the torch and pipelines libraries. You can install the required libraries via the following command:

pip install torch diffusers

💻 Usage Examples

Basic Usage

# Use the setup code above first
prompt = "Black of Art, Captured in a black and white monochrome, a woman with short dark hair stands in front of a gray wall, her head tilted slightly to the left."
image = pipe(prompt).images[0]
image.save("generated_image.png")

📚 Documentation

Model description for Black-of-Art-Flux

Image Processing Parameters

Parameter	Value	Parameter	Value
LR Scheduler	constant	Noise Offset	0.03
Optimizer	AdamW	Multires Noise Discount	0.1
Network Dim	64	Multires Noise Iterations	10
Network Alpha	32	Repeat & Steps	18 & 3180
Epoch	27	Save Every N Epochs	1

Labeling: florence2 - en(natural language & English)

Total Images Used for Training: 19

Best Dimensions & Inference

Dimensions	Aspect Ratio	Recommendation
1280 x 832	3:2	Best
1024 x 1024	1:1	Default

Inference Range

Recommended Inference Steps: 30–35

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

📄 License

This model is under the flux - 1 - dev - non - commercial - license. You can view the full license details at License Link.

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