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Do batch_slice in EasyCache's apply_cache_diff (#10376)

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Jedrzej Kosinski 2025-10-16 21:39:37 -07:00 committed by GitHub
parent b1293d50ef
commit d8d60b5609
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1 changed files with 4 additions and 3 deletions
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7
comfy_extras/nodes_easycache.py
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@ -244,6 +244,8 @@ class EasyCacheHolder:
self.total_steps_skipped += 1
batch_offset = x.shape[0] // len(uuids)
for i, uuid in enumerate(uuids):
# slice out only what is relevant to this cond
batch_slice = [slice(i*batch_offset,(i+1)*batch_offset)]
# if cached dims don't match x dims, cut off excess and hope for the best (cosmos world2video)
if x.shape[1:] != self.uuid_cache_diffs[uuid].shape[1:]:
if not self.allow_mismatch:
@ -261,9 +263,8 @@ class EasyCacheHolder:
slicing.append(slice(None, dim_u))
else:
slicing.append(slice(None))
slicing = [slice(i*batch_offset,(i+1)*batch_offset)] + slicing
x = x[slicing]
x += self.uuid_cache_diffs[uuid].to(x.device)
batch_slice = batch_slice + slicing
x[batch_slice] += self.uuid_cache_diffs[uuid].to(x.device)
return x
def update_cache_diff(self, output: torch.Tensor, x: torch.Tensor, uuids: list[UUID]):