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Auto reshape 2d to 3d latent for single image generation on video model.

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comfyanonymous
2024-12-29 02:26:49 -05:00
parent e1dec3c792
commit a618f768e0
2 changed files with 11 additions and 3 deletions
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8
comfy/sample.py
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@@ -25,9 +25,11 @@ def prepare_noise(latent_image, seed, noise_inds=None):
return noises
def fix_empty_latent_channels(model, latent_image):
latent_channels = model.get_model_object("latent_format").latent_channels #Resize the empty latent image so it has the right number of channels
if latent_channels != latent_image.shape[1] and torch.count_nonzero(latent_image) == 0:
latent_image = comfy.utils.repeat_to_batch_size(latent_image, latent_channels, dim=1)
latent_format = model.get_model_object("latent_format") #Resize the empty latent image so it has the right number of channels
if latent_format.latent_channels != latent_image.shape[1] and torch.count_nonzero(latent_image) == 0:
latent_image = comfy.utils.repeat_to_batch_size(latent_image, latent_format.latent_channels, dim=1)
if latent_format.latent_dimensions == 3 and latent_image.ndim == 4:
latent_image = latent_image.unsqueeze(2)
return latent_image
def prepare_sampling(model, noise_shape, positive, negative, noise_mask):