denoising-diffusion-pytorch
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Train with Self-Conditoning and Generate without Gives better results
Hi Phil and all diffusion coder here,
I am using this diffusion codes for latent text generation. After some testing, I found out if I trained my denoising model with self-conditiong and generate content without it will give me more naturally good results.
So I am curious if it is explainable and if we are supposed to use same setting for training and generation.
Thanks.
@Leo-T-Zang share a weights and bias report?