another fix for causal diffusion in inference
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@ -603,6 +603,7 @@ class GaussianDiffusion:
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img = out["sample"]
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if torch.any(mask):
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img[mask] = orig_img[mask] # For causal diffusion, keep resetting these predictions until they are unmasked.
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orig_img = img
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def p_sample_loop_with_guidance(
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self,
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@ -834,6 +835,7 @@ class GaussianDiffusion:
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img = out["sample"]
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if torch.any(mask):
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img[mask] = orig_img[mask] # For causal diffusion, keep resetting these predictions until they are unmasked.
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orig_img = orig_img
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def _vb_terms_bpd(
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self, model, x_start, x_t, t, clip_denoised=True, model_kwargs=None
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