Huawei Research Introduces DiffFit For Efficiently Fine-Tuning Large Diffusion Models

One of the most important challenges in machine learning is modeling intricate probability distributions. Diffusion probabilistic models DPMs aim to learn the inverse of a well-defined stochastic process that progressively destroys information.  Image synthesis, video production, and 3D editing are some areas where denoising diffusion probabilistic models (DDPMs) have shown their worth. As a result […]

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