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February 25, 2025 · Prague

RTX 3090 40 FPS Diffusion

Learn how to overcome technical challenges of live video‑to‑video pipelines, enabling real‑time diffusion that streams over 40 images per second on RTX 3090.

Overview
Tech stack
  • PyTorch
    PyTorch is the open-source machine learning framework: it provides a Python-first tensor library with strong GPU acceleration and a dynamic computation graph for building deep neural networks.
    PyTorch, developed by Meta AI, is a premier open-source deep learning framework favored in both research and production environments. Its core is a powerful tensor library (like NumPy) optimized for GPU acceleration, delivering 50x or greater speedups for complex computations. The key differentiator is its 'Pythonic' design and dynamic computation graph (eager execution), which allows for rapid prototyping and simplified debugging compared to static-graph frameworks. Leveraging its Autograd system for automatic differentiation, practitioners build and train models for computer vision and NLP; major companies like Tesla (Autopilot) and Microsoft utilize PyTorch for critical AI applications.
  • Stable Diffusion
    Stable Diffusion is a latent text-to-image diffusion model: it generates detailed, photo-realistic imagery from a text prompt.
    Stable Diffusion is a generative AI model, developed by Stability AI, that transforms text descriptions into high-resolution digital images. Released in 2022, this deep learning system is an open-source latent diffusion model (LDM), a key distinction from proprietary competitors. It requires minimal hardware (e.g., a modest GPU with 2.4 GB VRAM) for local operation, democratizing high-end image synthesis. Beyond text-to-image generation, the technology supports image-to-image translations, inpainting (editing within an image), and outpainting (extending an image).

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