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Consistent Virtual Model - Multi-Scene Character Generation (LoRA)
This project demonstrates a custom-trained LoRA for a single realistic character, maintaining strong facial and identity consistency across multiple scenes, outfits, poses, and lighting conditions.
The model was designed for scalable visual production: fashion, lifestyle, marketing, and promotional assets, where the same character must remain recognizable across a large volume of images.
Suitable for replacing or extending traditional photoshoots and reducing production time from days to minutes.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Thanks to the Contra Curation team for featuring Custom Agent Buildathon by @Notion on the new homepage.
Appreciate spotlight on this kind of work: custom agentic AI systems engineered for precision, velocity, and real scale inside tools like Notion.
Fellow builders — what’s one agent workflow that’s delivered serious leverage for you lately?
BULL VS. MACHINE: A Cinematic AI Experiment
A high-concept AI video production exploring the intersection of organic power and mechanical speed. This project serves as a case study in advanced AI cinematography, utilizing capcut & Higgsfield AI to create complex environmental interactions—specifically the "Vortex" sequence and synchronized tracking shots between F1 cars and animal subjects.
capcutvideostudioaivideofreelancerlifeAI Video ProductionHiggsfield AIArt DirectionVideo EditingAdobe Premiere ProCapCut
This is incredibly cinematic! The contrast between organic power and mechanical speed feels so well executed and visually striking 🔥🎬
Hey everyone, this is my submission for the @Rive HMI Challenge: NEURAL ROBOT CONTROL.
This project explores a system where a human can remotely operate a maintenance robot inside a radioactive reactor core — an environment too dangerous for direct interaction. The robot acts as a physical extension of the operator.
The experience is built as a clear flow:
connection → system sync → diagnostics → navigation → scan → operation
The AR interface serves as the main point of view, overlaying essential information directly onto the environment. It shows navigation guidance, target location, and system feedback while keeping the view minimal and unobstructed.
The robot includes a self-diagnostic HUD for maintenance teams, displaying real-time data such as battery, CPU temperature, mechanical stability, and radiation exposure. It also features a small onboard display that communicates system states like connecting, loading, warnings, errors, and movement direction.
The focus of this project is how motion communicates system behavior. Each transition reflects a state change, helping users understand what the robot is doing at any moment.
Built using State Machine, Data Binding, and Layout in Rive.
so good!! 🔥
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