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Artificial Intelligence & Machine Learning vocabulary · Computer Vision

Diffusion model

Meaning in artificial intelligence & machine learning, with examples

/dɪˈfjuːʒən ˌmɑːdl/nounAdvanced term

In artificial intelligence & machine learning, diffusion model means: A generative model that learns to remove noise step by step, so it can create new images, audio or video by starting from pure noise and gradually refining it.

In Turkish: difüzyon modeli, yayılım modeli

How it is used

The main technology behind most text-to-image generators. Engineers talk about sampling steps, guidance scale, image-to-image editing and inpainting. Generation is slower than with single-pass models because it takes many steps.

Example sentences

  1. The marketing team uses a diffusion model to show our products in different settings.

  2. Cutting the sampling steps from 50 to 20 made the diffusion model much faster with little loss in quality.

Common collocations

  • text-to-image diffusion model
  • sampling steps
  • guidance scale
  • latent diffusion
  • generative AIAI systems that create new content, such as text, images, audio, video or code, instead of only sorting inputs into classes or predicting values.
  • computer visionThe area of AI that teaches computers to understand images and video, for example recognizing objects, reading text in photos or tracking movement.
  • multimodalAble to work with more than one type of data, such as text, images, audio and video, like a model that can answer questions about a photo.
  • GPUShort for graphics processing unit: a chip that does thousands of simple calculations in parallel, which makes it the main hardware for training and running neural networks.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Computer Vision

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