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https://git.datalinker.icu/kijai/ComfyUI-CogVideoXWrapper.git
synced 2025-12-08 20:34:23 +08:00
Update pipeline_cogvideox_inpaint.py
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@ -432,7 +432,17 @@ class CogVideoX_Fun_Pipeline_Inpaint(VideoSysPipeline):
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if accepts_generator:
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extra_step_kwargs["generator"] = generator
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return extra_step_kwargs
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def _gaussian_weights(self, t_tile_length, t_batch_size):
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from numpy import pi, exp, sqrt
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var = 0.01
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midpoint = (t_tile_length - 1) / 2 # -1 because index goes from 0 to latent_width - 1
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t_probs = [exp(-(t-midpoint)*(t-midpoint)/(t_tile_length*t_tile_length)/(2*var)) / sqrt(2*pi*var) for t in range(t_tile_length)]
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weights = torch.tensor(t_probs)
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weights = weights.unsqueeze(0).unsqueeze(2).unsqueeze(3).unsqueeze(4).repeat(1, t_batch_size,1, 1, 1)
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return weights
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# Copied from diffusers.pipelines.latte.pipeline_latte.LattePipeline.check_inputs
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def check_inputs(
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self,
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@ -869,7 +879,6 @@ class CogVideoX_Fun_Pipeline_Inpaint(VideoSysPipeline):
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use_context_schedule = True
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from .context import get_context_scheduler
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context = get_context_scheduler(context_schedule)
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else:
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use_temporal_tiling = False
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use_context_schedule = False
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