Flux-Kontext-InScene Open-Source Image Generation Model - Free Deployment, Generate Images with Consistent Scenes

Flux Kontext InScene

Developed by peteromallet

InScene is a LoRA model for Flux.Kontext.dev, aiming to generate images that are scene-consistent with the source image.

Image Generation Open Source License:Apache-2.0 #Scene-consistent image generation #Multi-shot variations #Photographic style preservation

Downloads 1,343

Release Time : 7/18/2025

Model Overview

This model can generate different variation versions of specific shots while keeping the background, overall environment, characters, and style unchanged, providing a new solution for image generation tasks.

Model Features

Scene consistency

Capable of generating realistic shots consistent with the original scene, keeping the background, environment, and style unchanged.

Multi-style support

Can handle most common photographic and artistic styles.

Specific shot generation

Capable of generating different variation versions of specific shots, such as close-up shots.

Model Capabilities

Image generation

Scene consistency preservation

Multi-style image processing

Use Cases

Image generation

Car close-up generation

Generate a close-up shot of a car consistent with the original scene

A close-up image of a car with the background and style unchanged

Character expression change

Generate different versions of a character's expressions in the same scene

Images of a character with different expressions while keeping the environment and style unchanged

🚀 InScene: Flux.1-Kontext.dev LoRA

InScene is a LoRA for Flux.Kontext.dev, enabling the generation of images that maintain scene consistency with a source image, trained on Flux.1-Kontext.dev.

🚀 Quick Start

To use the InScene LoRA and achieve the best results, start your prompt with the phrase Make a shot in the same scene of and then describe your new image. For example: Make a shot in the same scene of the car up very close to the camera with the driver smiling manically.

✨ Features

Image Generation with Scene Consistency

InScene is designed to generate images that maintain scene consistency with a source image. It can generate variations of a shot while keeping the background, overall environment, characters, and styles the same.

Strengths

Realistic Shot Generation: The model excels at generating realistic shots that are consistent with the original scene.
Style Handling: It can handle most common photographic and artistic styles.

Weaknesses

Action - Oriented Prompts: The model may struggle with action - oriented prompts (e.g., "punching", "running").
Uncommon or Abstract Styles: It may have difficulties with uncommon or highly abstract styles.

📦 Installation

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

💻 Usage Examples

Basic Usage

To use the model, start your prompt as follows:

# Start the prompt with the specific phrase
prompt = "Make a shot in the same scene of the car up very close to the camera with the driver smiling manically."

📚 Documentation

Model Description

InScene is a LoRA for Flux.Kontext.dev that's designed to generate images that maintain scene consistency with a source image. It is trained on top of Flux.1-Kontext.dev.

The primary use case is to generate variations of a shot while keeping the background and overall environment, characters, and styles the same: