Transform images
with the power of
deep learning
DeepFX Studio brings advanced computer vision models to your fingertips with intuitive tools for colorization, upscaling, background removal, and artistic style transfer.
Experience what modern
neural networks
can do for images
Generating image...
Text-to-Image Generation
Experience the power of advanced diffusion models that transform textual descriptions into stunning visual art. Our implementation leverages state-of-the-art architectures for photorealistic image synthesis.
AI Colorization
Transform black & white photos into vibrant colored images using advanced deep learning models.
AI Image Upscale
Enhance image resolution and restore fine details with super-resolution technology.
Background Removal
background removal with precise edge detection for professional results.
Style Transfer
Neural style transfer for artistic image transformations using any painting styles or abstract art.
AI Filters
Apply artistic filters and style transformations with real-time inference.
Image Inpainting
Intelligent object removal, fill and replacement with inpainting technology.
Learning from the Best Papers
We studied and reimplemented models from top computer vision papers, doing our best to follow the original architectures. From GANs to diffusion models, we dove deep into the research to understand how these networks actually work.
Research-grade implementations with optimized inference pipelines, delivering professional results through memory-efficient deployment strategies.
Getting Access to Real GPUs
Thanks to Lightning.ai, we got our hands on actual A100 GPUs for training! As students, this was incredible - we spent 300+ GPU hours experimenting, training, and sometimes debugging why our models weren't converging.
Comprehensive hyperparameter tracking and validation metrics ensure convergence rates matching original research benchmarks.
Our Journey
We're a team of Computer Science students who just completed our second year, united by an unshakeable passion for coding and software development. This project represents our ambitious dive into full-stack development—a learning adventure that's taught us as much about collaboration as it has about cutting-edge technology.
Our Mission
DeepFX Studio isn't just a project—it's our playground for exploring the intersection of machine learning and web development. We built this to gain real-world experience, learn from feedback, and push the boundaries of what we can create together as a team.
Our Team
Three minds, one vision. Our diverse skill set combines deep learning expertise, full-stack development prowess, and frontend artistry. Together, we're committed to continuous learning and creating software that makes a difference.
Meet The Team
Abhinab Choudhary
Crafting seamless experiences from backend to frontend
XBastille
Architecting neural networks and bringing models to life
Arpit Mishra
Designing beautiful interfaces and user experiences
How did you get access to such powerful compute resources for training?
We leveraged Lightning.ai's cloud platform to access NVIDIA A100 GPU clusters for our model training. Lightning.ai provides students and researchers with affordable access to enterprise-grade hardware, allowing us to train complex deep learning models that would otherwise require significant infrastructure investment. We loved the fact that we were able to seamlessly switch between CPU and GPU resources, plus the built-in VS Code environment made development incredibly smooth.
How can I support this project?
The best way to support us is by starring our GitHub repository! It helps other developers discover our work and motivates us to keep improving. You can also follow us on social media for updates, or if you'd like to support us financially, consider buying us a coffee. Every bit of support means the world to us as student developers!
Will this project receive future updates?
As computer science students, we're constantly learning and working on new projects. While we can't guarantee long-term maintenance, we're actively seeking feedback from the community and plan to implement improvements based on user suggestions. Our goal is to apply lessons learned here to future projects.
Do you store images on the cloud or save user data?
Honestly? We don't store your images on our servers or in the cloud because we don't have the money for cloud storage! All image processing happens locally in your browser using client-side caching and temporary storage. Your images are only temporarily cached in your browser's local storage during processing and are automatically cleared when you close the session.
How can I access the source code and model architectures?
Everything is open source! You can find our complete codebase, model implementations, and architectural details on our GitHub repository. We've documented our training procedures, hyperparameters, and implementation details to help other researchers and developers. Feel free to fork or use our code for your own projects!
