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STABLE DIFFUSION NEURAL NETWORK: ARCHITECTURE FEATURES

Verezubova N.   (Moscow state academy of veterinary medicine and biotechnology of K.I. Scriabin)

Chekulaev A.   (Moscow state academy of veterinary medicine and biotechnology of K.I. Scriabin)

Verezubova I.   (Moscow state academy of veterinary medicine and biotechnology of K.I. Scriabin)

This article discusses the Stable Diffusion neural network and the features of its architecture. Stable Diffusion is a generative - adversarial model developed in 2022 and has been actively developing since then. It is used to create and modify images using a generator and discriminator that work together to improve image quality.

Keywords:neural network, Stable Diffusion, generative-adversarial models, machine learn-ing, U-Net, ResNet, CLIP model, on-demand image generation scheme
 

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Citation link:
Verezubova N. , Chekulaev A. , Verezubova I. STABLE DIFFUSION NEURAL NETWORK: ARCHITECTURE FEATURES // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№02. -С. 51-56 DOI 10.37882/2223-2966.2024.02.13
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