fitCorder - Generative Systems

I architect production-grade generative and computer vision systems—covering end-to-end pipelines for image, video, and voice. My core expertise centers on high-performance models like FLUX.1 and Wan 2.2, focusing on building repeatable, scalable pipelines for consistent, high-fidelity results at scale: data → tunes → inference on any infrastructure.

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What I build and optimize

Generative Model Customization: Deep expertise with cutting-edge models like FLUX.1, Wan 2.2, and the SD/SDXL ecosystem, fine-tuned for any styles or applications.
Multimodal Pipeline Architecture: Designing and deploying complete systems that integrate and output Image, Video, Voice, or any combination thereof.
Deployment & Infrastructure: High-performance, low-latency inference setups on versatile platforms including your own PC or Docker and cloud-based serverless environments.
Vision Model Integration: Implementing and optimizing computer vision models like YOLO (You Only Look Once) for automated data hygiene, object detection, prompt conditioning, and final quality control (QC) segmentation.
LoRA Training & Fine-Tuning: Expert parameter-efficient tuning (LoRA, QLoRA) for precise style and character consistency, including rank/alpha grids and early-stop heuristics.
ComfyUI Production Graphs: Building robust, batch-ready, and reusable node graphs for complex conditional generation and post-processing workflows.
Performance Engineering: Aggressive VRAM optimization, mixed-precision tuning, and latency reduction to meet specific rendering throughput targets for production loads.