classifier-free-guidance-pytorch
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lucidrains
Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
How should I go about guiding a diffusion model? Thanks in advance. https://github.com/lucidrains/denoising-diffusion-pytorch
Hello, I want to train the model on my own data set how should I proceed
At the moment the TextEmbeddingReturner just returns a mask where it given the % chance using cond_drop_prob, is setting some mask values to false. This works great if the model...
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Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models