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by jayalammar
1347 days ago
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Two diffusion processes are involved: 1- Forward Diffusion (adding noise, and training the Unet to predict how much noise is added in each step) 2- Generating the image by denoising. This doesn't predict the final image, each step only predicts a small slice of noise (the removal of which leads to images similar to what the model encountered in step 1). So it is indeed an iterative processes in that way, each step taking one step towards the final image. |
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