Adjust default values for LCM nodes
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@@ -18,6 +18,7 @@ class CoreMLSamplerLCM(CoreMLSampler):
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@classmethod
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def INPUT_TYPES(s):
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old_required = CoreMLSampler.INPUT_TYPES()["required"].copy()
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old_required["steps"][1]["default"] = 4
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old_required.pop("negative")
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old_required.pop("sampler_name")
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old_required.pop("scheduler")
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@@ -15,7 +15,7 @@ class CoreMLConverterLCM:
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"required": {
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"height": ("INT", {"default": 512, "min": 512, "max": 768, "step": 8}),
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"width": ("INT", {"default": 512, "min": 512, "max": 768, "step": 8}),
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"batch_size": ("INT", {"default": 4, "min": 1, "max": 64}),
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"batch_size": ("INT", {"default": 1, "min": 1, "max": 64}),
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"compute_unit": (
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[
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ComputeUnit.CPU_AND_NE.name,
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