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remove unnecessary decoder setting, and if not unconditional, always make sure the first unet is condition-able on text

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Phil Wang
2022-06-26 12:32:09 -07:00
parent f5760bdb92
commit 2e85e736f3
2 changed files with 4 additions and 5 deletions
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7
dalle2_pytorch/dalle2_pytorch.py
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@@ -1766,14 +1766,13 @@ class Decoder(nn.Module):
lowres_downsample_first = True, # cascading ddpm - resizes to lower resolution, then to next conditional resolution + blur
blur_sigma = (0.1, 0.2), # cascading ddpm - blur sigma
blur_kernel_size = 3, # cascading ddpm - blur kernel size
condition_on_text_encodings = False, # the paper suggested that this didn't do much in the decoder, but i'm allowing the option for experimentation
clip_denoised = True,
clip_x_start = True,
clip_adapter_overrides = dict(),
learned_variance = True,
learned_variance_constrain_frac = False,
vb_loss_weight = 0.001,
unconditional = False,
unconditional = False, # set to True for generating images without conditioning
auto_normalize_img = True, # whether to take care of normalizing the image from [0, 1] to [-1, 1] and back automatically - you can turn this off if you want to pass in the [-1, 1] ranged image yourself from the dataloader
use_dynamic_thres = False, # from the Imagen paper
dynamic_thres_percentile = 0.9,
@@ -1852,8 +1851,8 @@ class Decoder(nn.Module):
one_unet = one_unet.cast_model_parameters(
lowres_cond = not is_first,
cond_on_image_embeds = is_first and not unconditional,
cond_on_text_encodings = one_unet.cond_on_text_encodings and not unconditional,
cond_on_image_embeds = not unconditional and is_first,
cond_on_text_encodings = not unconditional and (is_first or one_unet.cond_on_text_encodings),
channels = unet_channels,
channels_out = unet_channels_out
)

2
dalle2_pytorch/version.py
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@@ -1 +1 @@
__version__ = '0.11.5'
__version__ = '0.12.0'