Flux-Super-Realism-LoRA-i2i Open-Source Adapter - Free Generation of Photorealistic Images

Flux Super Realism LoRA I2i

Developed by R1000

A hyper-realistic style LoRA adapter based on FLUX.1-dev foundation model, specializing in photorealistic image generation

Image Generation Open Source License:MIT #Hyper-realistic portrait generation #Photorealistic diffusion model #Low-rank adaptation fine-tuning

Downloads 97

Release Time : 12/21/2024

Model Overview

This model fine-tunes the base diffusion model through LoRA (Low-Rank Adaptation) technology, excelling in generating high-resolution images with surrealism and hyper-realism styles, particularly outstanding in portrait and complex scene rendering

Model Features

Hyper-realistic rendering

Achieves photorealistic rendering through specially tuned LoRA layers, outperforming base models especially in facial details and material representation

Multi-resolution support

Supports various high-resolution outputs like 1024×1024 and 768×1024, equipped with multi-resolution noise processing mechanism

Trigger word control

Precisely controls generation style through specific trigger words like 'surrealism', ensuring output consistency

Efficient fine-tuning

Achieves significant improvement with only 55 high-quality training images, using AdamW optimizer and constant learning rate scheduling

Model Capabilities

Hyper-realistic image generation

High-resolution rendering

Style control

Portrait enhancement

Complex scene synthesis

Use Cases

Digital art creation

Surreal portraits

Generate portraits with artistic exaggeration while maintaining photorealistic quality

Examples demonstrate superior facial details and lighting effects compared to previous models

Concept scene design

Create surreal scenes blending realistic and imaginative elements

Example of a woman in red jacket in snowscape shows excellent environmental integration

Visual content production

Advertising material generation

Quickly generate high-quality product scenes and character materials

HDR effects demonstrate outstanding material representation

🚀 Flux-Super-Realism-LoRA

A LoRA model for super-realistic image generation, offering high-resolution and ultra-realistic results.

🚀 Quick Start

API Usage

from gradio_client import Client

client = Client("prithivMLmods/FLUX-REALISM")
result = client.predict(
		prompt="A tiny astronaut hatching from an egg on the moon, 4k, planet theme",
		seed=0,
		width=1024,
		height=1024,
		guidance_scale=6,
		randomize_seed=True,
		api_name="/run"
        #takes minimum of 30 seconds
)
print(result)

Setting Up Flux Space

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/Flux-Super-Realism-LoRA"
trigger_word = "Super Realism"   #triggerword
pipe.load_lora_weights(lora_repo)

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

✨ Features

Super Realism: Generate highly realistic images with fine details.
High Resolution: Support for high-resolution image output.
Optimized Parameters: Well-tuned parameters for better performance.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

The basic usage of the model can be achieved through the API call as shown in the Quick Start section.

Advanced Usage

You can adjust the parameters such as prompt, seed, width, height, and guidance_scale to generate different images according to your needs.

📚 Documentation

Model description for super realism engine

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	30 & 4380
Epoch	20	Save Every N Epochs	1

Comparison between the base model and related models

Comparison between the base model FLUX.1-dev and its adapter, a LoRA model tuned for super-realistic realism. [ 28 steps ]

strangerzonehf/Flux-Super-Realism-LoRA

However, it performs better in various aspects compared to its previous models, including face realism, ultra-realism, and others. previous versions [ 28 steps ]

strangerzonehf/Flux-Super-Realism-LoRA

Previous Model Links

Model Name	Description	Link
Canopus-LoRA-Flux-FaceRealism	LoRA model for Face Realism	Canopus-LoRA-Flux-FaceRealism
Canopus-LoRA-Flux-UltraRealism-2.0	LoRA model for Ultra Realism	Canopus-LoRA-Flux-UltraRealism-2.0
Flux.1-Dev-LoRA-HDR-Realism [Experimental Version]	LoRA model for HDR Realism	Flux.1-Dev-LoRA-HDR-Realism
Flux-Realism-FineDetailed	Fine-detailed realism-focused model	Flux-Realism-FineDetailed

Hosted/Demo Links

Demo Name	Description	Link
FLUX-LoRA-DLC	Demo for FLUX LoRA DLC	FLUX-LoRA-DLC
FLUX-REALISM	Demo for FLUX Realism	FLUX-REALISM

Model Training Basic Details

Feature	Description
Labeling	florence2-en (natural language & English)
Total Images Used for Training	55 [Hi-Res]
Best Dimensions	- 1024 x 1024 (Default)
	- 768 x 1024

Flux-Super-Realism-LoRA Model GitHub

Repository Link	Description
Flux-Super-Realism-LoRA	Flux Super Realism LoRA model repository for high-quality realism generation

Trigger words

⚠️ Important Note

Trigger words: You should use Super Realism to trigger the image generation.

The trigger word is not mandatory; ensure that words like "realistic" and "realism" appear in the image description. The "super realism" trigger word should prompt an exact match to the reference image in the showcase.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

📄 License

This model is licensed under the MIT license.

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