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add unet ldm in init #6

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Merged
patil-suraj merged 1 commit into from
Jun 8, 2022
Merged

add unet ldm in init #6

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1 change: 1 addition & 0 deletions src/diffusers/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,5 +7,6 @@
from .modeling_utils import ModelMixin
from .models.unet import UNetModel
from .models.unet_glide import UNetGLIDEModel
from .models.unet_ldm import UNetLDMModel
from .pipeline_utils import DiffusionPipeline
from .schedulers.gaussian_ddpm import GaussianDDPMScheduler
1 change: 1 addition & 0 deletions src/diffusers/models/__init__.py
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Expand Up @@ -18,3 +18,4 @@

from .unet import UNetModel
from .unet_glide import UNetGLIDEModel
from .unet_ldm import UNetLDMModel
4 changes: 2 additions & 2 deletions src/diffusers/models/unet_ldm.py
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Expand Up @@ -830,7 +830,7 @@ def __init__(
self.conv_resample = conv_resample
self.num_classes = num_classes
self.use_checkpoint = use_checkpoint
self.dtype = torch.float16 if use_fp16 else torch.float32
self.dtype_ = torch.float16 if use_fp16 else torch.float32
self.num_heads = num_heads
self.num_head_channels = num_head_channels
self.num_heads_upsample = num_heads_upsample
Expand Down Expand Up @@ -1060,7 +1060,7 @@ def forward(self, x, timesteps=None, context=None, y=None,**kwargs):
assert y.shape == (x.shape[0],)
emb = emb + self.label_emb(y)

h = x.type(self.dtype)
h = x.type(self.dtype_)
for module in self.input_blocks:
h = module(h, emb, context)
hs.append(h)
Expand Down