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Reshape the empty latent image to the right amount of channels if needed.
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@@ -24,6 +24,12 @@ def prepare_noise(latent_image, seed, noise_inds=None):
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noises = torch.cat(noises, axis=0)
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return noises
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def fix_empty_latent_channels(model, latent_image):
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latent_channels = model.get_model_object("latent_format").latent_channels #Resize the empty latent image so it has the right number of channels
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if latent_channels != latent_image.shape[1] and torch.count_nonzero(latent_image) == 0:
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latent_image = comfy.utils.repeat_to_batch_size(latent_image, latent_channels, dim=1)
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return latent_image
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def prepare_sampling(model, noise_shape, positive, negative, noise_mask):
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logging.warning("Warning: comfy.sample.prepare_sampling isn't used anymore and can be removed")
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return model, positive, negative, noise_mask, []
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