Skip to content

[pull] master from Comfy-Org:master #541

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
pull merged 2 commits into from
Jan 15, 2026
Merged

[pull] master from Comfy-Org:master #541

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
80441eb
utils: fix lanczos grayscale upscaling (#11873)
rattus128 Jan 14, 2026
be518db
Remove extraneous clip missing warnings when loading LTX2 embeddings_…
kijai Jan 14, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 3 additions & 2 deletions comfy/text_encoders/lt.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -118,8 +118,9 @@ def load_sd(self, sd):
sdo = comfy.utils.state_dict_prefix_replace(sd, {"text_embedding_projection.aggregate_embed.weight": "text_embedding_projection.weight", "model.diffusion_model.video_embeddings_connector.": "video_embeddings_connector.", "model.diffusion_model.audio_embeddings_connector.": "audio_embeddings_connector."}, filter_keys=True)
if len(sdo) == 0:
sdo = sd

return self.load_state_dict(sdo, strict=False)
missing, unexpected = self.load_state_dict(sdo, strict=False)
missing = [k for k in missing if not k.startswith("gemma3_12b.")] # filter out keys that belong to the main gemma model
return (missing, unexpected)

def memory_estimation_function(self, token_weight_pairs, device=None):
constant = 6.0
Expand Down
4 changes: 3 additions & 1 deletion comfy/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -929,7 +929,9 @@ def generate_bilinear_data(length_old, length_new, device):
return result.to(orig_dtype)

def lanczos(samples, width, height):
images = [Image.fromarray(np.clip(255. * image.movedim(0, -1).cpu().numpy(), 0, 255).astype(np.uint8)) for image in samples]
#the below API is strict and expects grayscale to be squeezed
samples = samples.squeeze(1) if samples.shape[1] == 1 else samples.movedim(1, -1)
images = [Image.fromarray(np.clip(255. * image.cpu().numpy(), 0, 255).astype(np.uint8)) for image in samples]
images = [image.resize((width, height), resample=Image.Resampling.LANCZOS) for image in images]
images = [torch.from_numpy(np.array(image).astype(np.float32) / 255.0).movedim(-1, 0) for image in images]
result = torch.stack(images)
Expand Down
Loading