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authorbrkirch <brkirch@users.noreply.github.com>2023-01-27 15:19:43 +0000
committerbrkirch <brkirch@users.noreply.github.com>2023-01-28 09:16:25 +0000
commitada17dbd7c4c68a4e559848d2e6f2a7799722806 (patch)
treeced66b899aba64a4e5d7b66a3bc8cdb796e0cf16 /modules/sd_hijack.py
parentc4b9b07db6272768428fa8efeb7d7a9f22eca0b1 (diff)
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Refactor conditional casting, fix upscalers
Diffstat (limited to 'modules/sd_hijack.py')
-rw-r--r--modules/sd_hijack.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py
index 531790f3..8fc91882 100644
--- a/modules/sd_hijack.py
+++ b/modules/sd_hijack.py
@@ -171,7 +171,7 @@ class EmbeddingsWithFixes(torch.nn.Module):
vecs = []
for fixes, tensor in zip(batch_fixes, inputs_embeds):
for offset, embedding in fixes:
- emb = embedding.vec.to(devices.dtype_unet) if devices.unet_needs_upcast else embedding.vec
+ emb = devices.cond_cast_unet(embedding.vec)
emb_len = min(tensor.shape[0] - offset - 1, emb.shape[0])
tensor = torch.cat([tensor[0:offset + 1], emb[0:emb_len], tensor[offset + 1 + emb_len:]])