Xite | AI-Powered Image Editor - Sell Project

As you can probably see this project is pre-revenue. I launched it only a few days ago this is why. Reason I'm selling it is I do not have the money nor energy left to market it. This was a massive, massive project and I'm tired. On an informal note, I also hate marketing but love creating. The Vision I built xite.studio to solve the "Manual Masking Tax." In professional workflows, manual masking seemed antiquated and time-consuming to me. I built an engine that automates the entire pipeline—from object isolation to physics-accurate relighting—allowing for high-fidelity 4K editing. The Technical Moat (The "Engine" under the hood) This isn't a wrapper; it's a complex, modular orchestration of SOTA models across a 250,000+ line codebase: Zero-Shot Masking: Automated object detection via GroundingDINO + SAM, generating production-ready Alpha Mattes instantly. Hybrid Inpainting: A dual-pass system using LaMa for structural integrity and SDXL for high-frequency detail. Physics-Aware Relighting: Integrated LBM (Latent Bridge Matching) and Poisson Blending to ensure inserted objects inherit the destination's lighting environment. Industrial Upscaling: SUPIR integration for elite 4K+ resolution, managed via a custom Tiled Diffusion pipeline. Graduated Blending: Proprietary "Buffer Zone" logic for in/outpainting that creates seamless transitions between original pixels and generated latent space. AWS Rekognition Integration: Enterprise-grade content moderation blocking NSFW and CSAM before processing, protecting both users and the platform from liability. Full Feature Suite: All the standard AI capabilities—Img2Img, Outpainting, and more—refined for production use. Smart Infrastructure: Modal orchestration that eliminates idle costs while intelligently managing GPU spin-up to balance performance and cost efficiency. Quick Tools: Streamlined workflows that let users execute common tasks without navigating complex menus. Admin Panel: Comprehensive admin panel meaning that day to day website handling can be handled without code. You can set/change prices, check daily analytics and do various other things with the click of a button. And much more. The real proof is in using it. Built Responsibly, Sold Safely Unlike many AI image tools, Xite was architected with trust & safety from day one: AWS Rekognition pre-processing catches prohibited content before it touches the editing pipeline No manual review required - automated content filtering protects user privacy while maintaining platform safety 48-hour content deletion - minimal data retention reduces liability exposure Ethical AI commitment - built to empower creators, not enable harm For acquirers, this means inheriting a platform with proper guardrails already in place - not a compliance nightmare waiting to happen. Why This Matters Manual masking isn't just tedious—it's a tax on productivity. What takes 20 minutes in Photoshop happens with a click in Xite. No experience required. No manual paths. No layer complexity. The value isn't raw speed—it's eliminating the entire manual workflow. Processing time varies by resolution and complexity, but the alternative is someone spending their afternoon with a pen tool. The Market Reality Professional image editing is drowning in friction. Photoshop requires expertise. Canva lacks precision. Midjourney can't edit real photos properly. The gap between "AI toy" and "production tool" is massive—and that's exactly where Xite lives. We're targeting the massive overlap between: E-commerce teams processing thousands of product shots Real estate agents needing fast, professional listing photos Social media managers creating platform-specific content daily Marketing agencies juggling client revisions Creators who need studio-quality results without studio budgets Performance Reality Processing times scale with image resolution and operation complexity. Cold starts can take 30 seconds as ComfyUI spins up, then operations range from seconds for simple edits to minutes for 4K upscaling with relighting. The trade-off: infrastructure costs stay near zero when idle, making unit economics sustainable. The competitive advantage isn't speed—it's automation. What matters is eliminating hours of manual work, not shaving seconds off processing time. Having said that, start up time can be eliminated by starting sandboxes and warming them up on high job conversion actions. I am in the process of implementing this and will be ready by the acquisition date. De-Risked for Acquisition: Content moderation infrastructure already implemented (AWS Rekognition) Compliant with platform safety standards from day one No legacy liability from unmoderated content Privacy-first architecture (48hr deletion, no manual review) Built for professional/commercial use cases, not edge case risks Cost-efficient infrastructure that scales with demand