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wan: vae: free consumer caller tensors on recursion

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Rattus 2026-03-17 13:26:34 +10:00
parent 45995ed76a
commit 8658c570f9
1 changed files with 9 additions and 4 deletions
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13
comfy/ldm/wan/vae.py
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@ -391,7 +391,9 @@ class Decoder3d(nn.Module):
x = layer(x) x = layer(x)
out_chunks.append(x) out_chunks.append(x)
def run_upsamples(layer_idx, x, feat_idx): def run_upsamples(layer_idx, x_ref, feat_idx):
x = x_ref[0]
x_ref[0] = None
if layer_idx >= len(self.upsamples): if layer_idx >= len(self.upsamples):
run_head(x, feat_idx) run_head(x, feat_idx)
return return
@ -401,9 +403,10 @@ class Decoder3d(nn.Module):
for frame_idx in range(x.shape[2]): for frame_idx in range(x.shape[2]):
run_upsamples( run_upsamples(
layer_idx, layer_idx,
x[:, :, frame_idx:frame_idx + 1, :, :], [x[:, :, frame_idx:frame_idx + 1, :, :]],
feat_idx.copy(), feat_idx.copy(),
) )
del x
return return
if feat_cache is not None: if feat_cache is not None:
@ -411,9 +414,11 @@ class Decoder3d(nn.Module):
else: else:
x = layer(x) x = layer(x)
run_upsamples(layer_idx + 1, x, feat_idx) next_x_ref = [x]
del x
run_upsamples(layer_idx + 1, next_x_ref, feat_idx)
run_upsamples(0, x, feat_idx) run_upsamples(0, [x], feat_idx)
return out_chunks return out_chunks