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Question about the diffusion training process. #28
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I'm having difficulty understanding the code you provided. Could you please clarify the following points for me?
Thank you for your patience and assistance in clarifying these points.
“”“
x_noisy = self.q_sample(
x_start=x_start, continuous_sqrt_alpha_cumprod=continuous_sqrt_alpha_cumprod.view(-1, 1, 1, 1), noise=noise.detach())
x_recon = self.denoisor(x_noisy, continuous_sqrt_alpha_cumprod)
J-Invariance optimization
total_loss = self.mseloss(x_recon, x_in['X'])”“”
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