aljaz/DALLE2-pytorch
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only pass text encodings conditioning in diffusion prior if specified on initialization

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This commit is contained in:
Phil Wang
2022-04-27 19:48:16 -07:00
parent 6700381a37
commit 8c610aad9a
2 changed files with 9 additions and 11 deletions
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18
dalle2_pytorch/dalle2_pytorch.py
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@@ -736,11 +736,10 @@ class DiffusionPrior(BaseGaussianDiffusion):
text_embed, text_encodings = self.clip.embed_text(text)
text_cond = dict(
text_embed = text_embed,
text_encodings = text_encodings,
mask = text != 0
)
text_cond = dict(text_embed = text_embed)
if self.condition_on_text_encodings:
text_cond = {**text_cond, 'text_encodings': text_encodings, 'mask': text_mask}
image_embeds = self.p_sample_loop((batch_size, image_embed_dim), text_cond = text_cond)
text_embeds = text_cond['text_embed']
@@ -780,11 +779,10 @@ class DiffusionPrior(BaseGaussianDiffusion):
text_embed, text_encodings = self.clip.embed_text(text)
text_mask = text != 0
text_cond = dict(
text_embed = text_embed,
text_encodings = text_encodings,
mask = text_mask
)
text_cond = dict(text_embed = text_embed)
if self.condition_on_text_encodings:
text_cond = {**text_cond, 'text_encodings': text_encodings, 'mask': text_mask}
# timestep conditioning from ddpm

2
setup.py
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@@ -10,7 +10,7 @@ setup(
'dream = dalle2_pytorch.cli:dream'
],
},
version = '0.0.57',
version = '0.0.58',
license='MIT',
description = 'DALL-E 2',
author = 'Phil Wang',