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revert restriction for classifier free guidance for diffusion prior, given @crowsonkb advice
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@@ -834,7 +834,7 @@ class DiffusionPrior(BaseGaussianDiffusion):
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self.image_embed_dim = default(image_embed_dim, lambda: clip.dim_latent)
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self.channels = default(image_channels, lambda: clip.image_channels)
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self.cond_drop_prob = cond_drop_prob if not predict_x_start else 0.
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self.cond_drop_prob = cond_drop_prob
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self.condition_on_text_encodings = condition_on_text_encodings
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# in paper, they do not predict the noise, but predict x0 directly for image embedding, claiming empirically better results. I'll just offer both.
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