5B + context windows
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@@ -2654,6 +2654,8 @@ class WanVideoSampler:
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partial_audio_proj = audio_proj[:, c]
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partial_latent_model_input = latent_model_input[:, c]
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if latents_to_insert is not None and c[0] != 0:
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partial_latent_model_input[:, 0:num_latents_to_insert] = latents_to_insert
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partial_unianim_data = None
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if unianim_data is not None:
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@@ -2673,8 +2675,10 @@ class WanVideoSampler:
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if len(timestep.shape) != 1:
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partial_timestep = timestep[:, c]
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partial_timestep[:, :num_latents_to_insert] = 0
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else:
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partial_timestep = timestep
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#print("Partial timestep:", partial_timestep)
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noise_pred_context, new_teacache = predict_with_cfg(
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partial_latent_model_input,
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