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Omit null batch_index from Trellis upsample output

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This commit is contained in:
John Pollock 2026-04-20 17:20:57 -05:00
parent 33caec301a
commit 939ac7ebb4
1 changed files with 7 additions and 3 deletions
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10
comfy_extras/nodes_trellis2.py
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@ -521,12 +521,16 @@ class Trellis2UpsampleCascade(IO.ComfyNode):
final_coords_list.append(final_coords_i) final_coords_list.append(final_coords_i)
output_coord_counts.append(int(final_coords_i.shape[0])) output_coord_counts.append(int(final_coords_i.shape[0]))
return IO.NodeOutput({ normalized_batch_index = normalize_batch_index(batch_index)
output = {
"coords": torch.cat(final_coords_list, dim=0), "coords": torch.cat(final_coords_list, dim=0),
"coord_counts": torch.tensor(output_coord_counts, dtype=torch.int64), "coord_counts": torch.tensor(output_coord_counts, dtype=torch.int64),
"resolutions": torch.full((len(final_coords_list),), int(hr_resolution), dtype=torch.int64), "resolutions": torch.full((len(final_coords_list),), int(hr_resolution), dtype=torch.int64),
"batch_index": normalize_batch_index(batch_index), }
},) if normalized_batch_index is not None:
output["batch_index"] = normalized_batch_index
return IO.NodeOutput(output,)
dino_mean = torch.tensor([0.485, 0.456, 0.406]).view(1, 3, 1, 1) dino_mean = torch.tensor([0.485, 0.456, 0.406]).view(1, 3, 1, 1)
dino_std = torch.tensor([0.229, 0.224, 0.225]).view(1, 3, 1, 1) dino_std = torch.tensor([0.229, 0.224, 0.225]).view(1, 3, 1, 1)