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Feature-wise Linear Modulation (FiLM) layer is used to change outputs of a general model with some specific conditioning input. FiLM input is one input feature and a conditioning feature. The conditioning is trained to change model’s behavior on demand (changes output probability distribution). For example you condition diffusion model with words “brown cat” to generate images of brown cats. The conditioning has smaller impact than the input feature and overall model training, but is very impor...