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support ltx2 distilled pipeline
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@@ -129,7 +129,7 @@ class FlowMatchScheduler():
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if special_case == "stage2":
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sigmas = torch.Tensor([0.909375, 0.725, 0.421875])
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elif special_case == "ditilled_stage1":
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sigmas = torch.Tensor([0.95, 0.8, 0.5, 0.2])
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sigmas = torch.Tensor([1.0, 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875])
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else:
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dynamic_shift_len = dynamic_shift_len or 4096
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sigma_shift = FlowMatchScheduler._calculate_shift_qwen_image(
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