Suraj Patil
Core ML Engineer, Hugging Face | Diffusers Core Maintainer | Generative Vision Specialist
Core Machine Learning Engineer at Hugging Face and primary maintainer of huggingface/diffusers, the world standard library for latent diffusion, Stable Diffusion, SDXL, and FLUX models. Architected high-throughput inference pipelines, LoRA fine-tuning workflows, and modular conditioning schedulers used by millions of developers and production AI studios worldwide.
Areas of focus
Professional niches
Proof of Work
Fine-Tuning Stable Diffusion with LoRA and ControlNet
Authored the definitive implementation and engineering guide for Low-Rank Adaptation (LoRA) applied to cross-attention layers of text-to-image latent diffusion models, slashing VRAM training requirements from 80GB to under 8GB.
Low-rank approximations can degrade fine textural fidelity when fine-tuning across drastically different visual domains.
Context: Parameter-efficient fine-tuning (PEFT), cross-attention adaptation.
View missionDiffusers: State-of-the-Art Diffusion Models in PyTorch
Engineered core schedulers (DDIM, DPMSolver, Euler), memory-efficient cross-attention kernels, and quantized pipeline architectures powering Stable Diffusion and Flux ecosystem inference.
Diffusion sampling requires multiple sequential denoising steps, bottlenecking latency relative to single-pass adversarial models.
Context: PyTorch, CUDA, xFormers, FlashAttention, ONNX runtime.
View mission