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Refactor and fixes for video latents.

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comfyanonymous 2025-01-22 06:37:46 -05:00
parent e857dd48b8
commit a7fe0a94de
1 changed files with 8 additions and 5 deletions
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13
comfy_extras/nodes_latent.py
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@ -2,10 +2,14 @@ import comfy.utils
import comfy_extras.nodes_post_processing
import torch
def reshape_latent_to(target_shape, latent):
def reshape_latent_to(target_shape, latent, repeat_batch=True):
if latent.shape[1:] != target_shape[1:]:
latent = comfy.utils.common_upscale(latent, target_shape[3], target_shape[2], "bilinear", "center")
return comfy.utils.repeat_to_batch_size(latent, target_shape[0])
latent = comfy.utils.common_upscale(latent, target_shape[-1], target_shape[-2], "bilinear", "center")
if repeat_batch:
return comfy.utils.repeat_to_batch_size(latent, target_shape[0])
else:
return latent
class LatentAdd:
@ -116,8 +120,7 @@ class LatentBatch:
s1 = samples1["samples"]
s2 = samples2["samples"]
if s1.shape[1:] != s2.shape[1:]:
s2 = comfy.utils.common_upscale(s2, s1.shape[-1], s1.shape[-2], "bilinear", "center")
s2 = reshape_latent_to(s1.shape, s2, repeat_batch=False)
s = torch.cat((s1, s2), dim=0)
samples_out["samples"] = s
samples_out["batch_index"] = samples1.get("batch_index", [x for x in range(0, s1.shape[0])]) + samples2.get("batch_index", [x for x in range(0, s2.shape[0])])