Journey in Computer Vision and Generative Models
Collection
My implementations of generative models and computer vision. Currently built a transformer, stable diffusion, vit, and flow matching by scratch • 3 items • Updated
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Implemented and trained a stable diffusion model from scratch (CLIP + VAE + UNet + Cross-Attention), optimizing schedulers (DDPM, DDIM, Euler Ancestral, DPM-Solver++) and attention mechanisms (Flash Attention, xFormers) to reduce generation time by 22% and improve image clarity using MPS on RunPod GPUs.