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Updated TeaCache import to new Embeddings1DConnector module #179

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Updated TeaCache import to new Embeddings1DConnector module #179

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032895f
Update nodes.py imports for LTX1 embedding module
Evs91 Jan 6, 2026
5002e1e
Merge pull request #1 from Evs91/LTX1-embeddings-patch
Evs91 Jan 6, 2026
4a6b705
update nodes.py for new embeddings module.
Evs91 Jan 7, 2026
44e2e26
Update nodes.py
Evs91 Jan 8, 2026
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4 changes: 2 additions & 2 deletions nodes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
from unittest.mock import patch

from comfy.ldm.flux.layers import timestep_embedding, apply_mod
from comfy.ldm.lightricks.model import precompute_freqs_cis
from comfy.ldm.lightricks.embeddings_connector import Embeddings1DConnector
from comfy.ldm.lightricks.symmetric_patchifier import latent_to_pixel_coords
from comfy.ldm.wan.model import sinusoidal_embedding_1d

Expand Down Expand Up @@ -628,7 +628,7 @@ def teacache_ltxvmodel_forward(
if attention_mask is not None and not torch.is_floating_point(attention_mask):
attention_mask = (attention_mask - 1).to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])) * torch.finfo(x.dtype).max

pe = precompute_freqs_cis(fractional_coords, dim=self.inner_dim, out_dtype=x.dtype)
pe = Embeddings1DConnector.precompute_freqs_cis(fractional_coords, dim=self.inner_dim, out_dtype=x.dtype)

batch_size = x.shape[0]
timestep, embedded_timestep = self.adaln_single(
Expand Down