Flux-Isometric-3D-Cinematography Open Source Model - Easily Generate Images in Isometric 3D Cinematography Style

Flux Isometric 3D Cinematography

Developed by strangerzonehf

This is a LoRA-based text-to-image diffusion model focused on generating isometric 3D cinematic photography style images.

Image Generation Open Source License:Openrail #Isometric 3D Rendering #Cinematic Photography #LoRA Fine-tuning

Downloads 103

Release Time : 11/24/2024

Model Overview

This model is based on the black-forest-labs/FLUX.1-dev foundation model and achieves isometric 3D cinematic photography style image generation through LoRA fine-tuning.

Model Features

Isometric 3D Cinematic Photography Style

Specialized in generating 3D scene images with isometric perspective and cinematic photography style

LoRA Fine-tuning

Efficient fine-tuning of the base diffusion model using LoRA technology

Multi-resolution Noise Processing

Utilizes multi-resolution noise attenuation technology to enhance image quality

Model Capabilities

Text-to-Image Generation

3D Scene Rendering

Isometric Perspective Image Generation

Use Cases

Creative Design

3D Scene Concept Design

Quickly generate isometric 3D scene concept art

Can be used for pre-production concept design in games, films, etc.

Educational Visualization

Generate 3D scene diagrams for teaching purposes

Helps understand spatial relationships and scene layouts

🚀 Strangerzonehf/Flux-Isometric-3D-Cinematography

This model is designed for isometric 3D cinematography image generation, leveraging LoRA technology on a base model to produce high - quality 3D - style images.

🚀 Quick Start

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

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/Flux-Isometric-3D-Cinematography"
trigger_word = "Isometric 3D Cinematography"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Isometric 3D Cinematography to trigger the image generation.

✨ Features

Tags: text - to - image, lora, diffusers, template:diffusion - lora, 3D, Cinematography, OBJ
Base model: black - forest - labs/FLUX.1 - dev
Instance prompt: Isometric 3D Cinematography
License: creativeml - openrail - m

📦 Installation

This section mainly focuses on the setup code, which has been presented in the "Quick Start" section.

💻 Usage Examples

Basic Usage

The basic usage has been shown in the "Setting Up" part of the "Quick Start" section.

Advanced Usage

There are no advanced usage examples provided in the original document, so this section is skipped.

📚 Documentation

Model description

strangerzonehf/Flux - Isometric - 3D - Cinematography

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	28 & 3900
Epoch	25	Save Every N Epochs	1

Labeling: florence2 - en(natural language & English)

Total Images Used for Training : 24

Best Dimensions

768 x 1024 (Best)
1024 x 1024 (Default)

📄 License

The model is licensed under creativeml - openrail - m.

Download model

Weights for this model are available in Safetensors format.

[Download](/strangerzonehf/Flux - Isometric - 3D - Cinematography/tree/main) them in the Files & versions tab.

strangerzonehf/Flux - Isometric - 3D - Cinematography

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