forked from mrq/DL-Art-School
reminder to future self
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@ -350,6 +350,7 @@ class GaussianDiffusion:
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else:
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cfk = self.conditioning_free_k
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model_output = (1 + cfk) * model_output - cfk * model_output_no_conditioning
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# TODO: combine variance predictions here similarly.
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def process_xstart(x):
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if denoised_fn is not None:
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