Flux.1-Dev-LoRA-HDR-Realism Open Source Model - Generate HDR High Dynamic Range Effect Images for Free

Flux.1 Dev LoRA HDR Realism

Developed by prithivMLmods

This is a LoRA model based on the FLUX.1 development version, focusing on generating images with HDR high dynamic range effects.

Image Generation Open Source License:Openrail #HDR High Dynamic Range #LoRA Fine-tuning #Portrait Enhancement

Downloads 275

Release Time : 11/11/2024

Model Overview

This model is an experimental LoRA model designed to enhance HDR high dynamic range effects in text-to-image generation tasks, particularly suitable for generating portraits with rich light and shadow details.

Model Features

HDR High Dynamic Range Effect

Specially optimized for generating images with high dynamic range lighting effects

Portrait Detail Enhancement

Particularly adept at generating portraits with fine details, including hair color, eye color, and clothing textures

Background Blur Processing

Capable of automatically generating images with professional-grade background blur effects

Model Capabilities

Text-to-Image Generation

HDR Effect Enhancement

Portrait Generation

Background Blur Processing

Use Cases

Digital Art Creation

Portrait Creation

Generate professional-quality portraits, especially suitable for artistic creation and conceptual design

Can generate portrait images with fine details and HDR effects

Advertising Design

Product Advertisement Images

Generate product display images with professional-level lighting effects

Can generate product images with high dynamic range lighting effects

🚀 Flux.1-Dev-LoRA-HDR-Realism [ Experimental Version ]

This model is designed for high - dynamic - range (HDR) text - to - image generation, enhancing the realism of generated images. However, it's still in the experimental phase.

⚠️ Important Note

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

🚀 Quick Start

📦 Installation

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 = "prithivMLmods/Flux.1-Dev-LoRA-HDR-Realism"
trigger_word = "HDR"  
pipe.load_lora_weights(lora_repo)

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

💻 Usage Examples

Basic Usage

You should use HDR to trigger the image generation. For example, you can use prompts like:

HDR, Captured at eye - level, a close - up shot of a young woman with dark brown hair and blue eyes. Her hair is styled in a braided bun, and shes wearing a black strapless dress with a black lace trim. She is wearing a gold necklace with a silver charm on it. The backdrop is blurred, and there are several lights hanging from the ceiling, adding a touch of color to the scene.

✨ Features

Text - to - Image Generation: Generate high - quality HDR images based on text prompts.
LoRA Integration: Utilize LoRA technology to enhance the base model's performance.

📚 Documentation

Model description

prithivMLmods/Flux.1-Dev-LoRA-HDR-Realism

Property	Details
Model Type	LoRA for text - to - image generation
Base Model	black - forest - labs/FLUX.1 - dev
Instance Prompt	HDR
License	creativeml - openrail - m

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	19 & 2000
Epoch	17	Save Every N Epochs	1

Labeling: florence2 - en(natural language & English)

Total Images Used for Training: 14

Best Dimensions

1024 x 1024 (Default)

Download model

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

Hosted Here🧨

https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC

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