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authorAUTOMATIC1111 <16777216c@gmail.com>2023-01-28 15:44:36 +0000
committerGitHub <noreply@github.com>2023-01-28 15:44:36 +0000
commitfecb990debdae2cc99b64808d22ba902e34e575b (patch)
tree5531204920675c2bbb9189e41cf331554b92f062 /modules/sd_hijack.py
parent41e76d12093dd78315925f923bb1cc0f541e5f54 (diff)
parentf9edd578e9e29d160e6d56038bb368dc49895d64 (diff)
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Merge pull request #7309 from brkirch/fix-embeddings
Fix embeddings, upscalers, and refactor `--upcast-sampling`
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 03897b2a..8fdc5990 100644
--- a/modules/sd_hijack.py
+++ b/modules/sd_hijack.py
@@ -173,7 +173,7 @@ class EmbeddingsWithFixes(torch.nn.Module):
vecs = []
for fixes, tensor in zip(batch_fixes, inputs_embeds):
for offset, embedding in fixes:
- emb = 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:]])