v-diffusion-pytorch
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[Question] What's the meaning of these equations in sample and cfg_model_fn(from sample.py )
Hello, thank you for your great work! I have a little puzzle in sample.py `# Get the model output (v, the predicted velocity) with torch.cuda.amp.autocast(): v = model(x, ts * steps[i], **extra_args).float()
# Predict the noise and the denoised image
pred = x * alphas[i] - v * sigmas[i]
eps = x * sigmas[i] + v * alphas[i]`
what the meaning ? Where it comes?