Fix imports.

comfy/ldm/modules/diffusionmodules/model.py

@@ -6,7 +6,7 @@ import numpy as np
 from einops import rearrange
 from typing import Optional, Any
 
-from ldm.modules.attention import MemoryEfficientCrossAttention
+from ..attention import MemoryEfficientCrossAttention
 from comfy import model_management
 
 if model_management.xformers_enabled_vae():

comfy/ldm/modules/diffusionmodules/openaimodel.py

@@ -6,7 +6,7 @@ import torch as th
 import torch.nn as nn
 import torch.nn.functional as F
 
-from ldm.modules.diffusionmodules.util import (
+from .util import (
     checkpoint,
     conv_nd,
     linear,
@@ -15,8 +15,8 @@ from ldm.modules.diffusionmodules.util import (
     normalization,
     timestep_embedding,
 )
-from ldm.modules.attention import SpatialTransformer
-from ldm.util import exists
+from ..attention import SpatialTransformer
+from comfy.ldm.util import exists
 
 
 # dummy replace

comfy/ldm/modules/diffusionmodules/upscaling.py

@@ -3,8 +3,8 @@ import torch.nn as nn
 import numpy as np
 from functools import partial
 
-from ldm.modules.diffusionmodules.util import extract_into_tensor, make_beta_schedule
-from ldm.util import default
+from .util import extract_into_tensor, make_beta_schedule
+from comfy.ldm.util import default
 
 
 class AbstractLowScaleModel(nn.Module):

comfy/ldm/modules/diffusionmodules/util.py

@@ -15,7 +15,7 @@ import torch.nn as nn
 import numpy as np
 from einops import repeat
 
-from ldm.util import instantiate_from_config
+from comfy.ldm.util import instantiate_from_config
 
 
 def make_beta_schedule(schedule, n_timestep, linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3):