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What is RetailFlux?

RetailFlux’s people counting software provides not only a cost-effective option but also features sophisticated analytical tools that stand out in the market. Utilizing our unique Artificial Intelligence technology, FluxVision, RetailFlux delivers outstanding data accuracy while ensuring minimal implementation expenses thanks to its AI-driven approach. By leveraging standard CCTV cameras, our cutting-edge AI software transforms them into highly accurate and versatile counting instruments. RetailFlux’s people counters also offer distinctive capabilities such as staff exclusion and detailed metrics on occupancy and shopping duration. In the current retail environment, tracking foot traffic and conversion rates has become essential for successful management of physical locations. Analyzing visitor counts in conjunction with sales figures provides crucial insights into the conversion rate, a key performance indicator that helps evaluate store effectiveness and foster business growth. By grasping these vital metrics, retailers can make data-driven decisions that not only elevate the customer experience but also boost overall profitability. Ultimately, the integration of advanced analytics into retail operations empowers businesses to adapt and thrive in a competitive landscape.

What is FLUX.1 Krea?

FLUX.1 Krea [dev] represents a state-of-the-art open-source diffusion transformer boasting 12 billion parameters, collaboratively developed by Krea and Black Forest Labs, and is designed to deliver remarkable aesthetic accuracy and photorealistic results while steering clear of the typical “AI look.” Fully embedded within the FLUX.1-dev ecosystem, this model is based on a foundational framework (flux-dev-raw) that encompasses a vast array of world knowledge. It employs a two-phase post-training strategy that combines supervised fine-tuning using a thoughtfully curated mix of high-quality and synthetic samples, alongside reinforcement learning influenced by human feedback derived from preference data to refine its stylistic outputs. Additionally, through the creative application of negative prompts during pre-training, coupled with specialized loss functions aimed at classifier-free guidance and precise preference labeling, it achieves significant improvements in quality with less than one million examples, all while eliminating the need for complex prompts or supplementary LoRA modules. This innovative methodology not only enhances the quality of the model's outputs but also establishes a new benchmark in the realm of AI-generated visual content, showcasing the potential for future advancements in this dynamic field.

Media

Media

Integrations Supported

FLUX.1
Fuser
OpenClaw

Integrations Supported

FLUX.1
Fuser
OpenClaw

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

RetailFlux

Date Founded

2015

Company Location

Norway

Company Website

www.retailflux.com

Company Facts

Organization Name

Krea

Date Founded

2022

Company Location

United States

Company Website

www.krea.ai/blog/flux-krea-open-source-release

Categories and Features

Marketing Analytics

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

Categories and Features

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