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5c84d38fc8
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@ -73,7 +73,7 @@ def cast_to_input(weight, input, non_blocking=False, copy=True):
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def cast_bias_weight(s, input=None, dtype=None, device=None, bias_dtype=None, offloadable=False):
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def cast_bias_weight(s, input=None, dtype=None, device=None, bias_dtype=None, offloadable=False):
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# NOTE: offloadable=False is a a legacy and if you are a custom node author reading this please pass
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# NOTE: offloadable=False is a legacy mode and if you are a custom node author reading this please pass
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# offloadable=True and call uncast_bias_weight() after your last usage of the weight/bias. This
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# offloadable=True and call uncast_bias_weight() after your last usage of the weight/bias. This
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# will add async-offload support to your cast and improve performance.
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# will add async-offload support to your cast and improve performance.
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if input is not None:
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if input is not None:
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3
nodes.py
3
nodes.py
@ -2105,7 +2105,8 @@ NODE_DISPLAY_NAME_MAPPINGS = {
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"CheckpointLoader": "Load Checkpoint With Config (DEPRECATED)",
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"CheckpointLoader": "Load Checkpoint With Config (DEPRECATED)",
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"CheckpointLoaderSimple": "Load Checkpoint",
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"CheckpointLoaderSimple": "Load Checkpoint",
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"VAELoader": "Load VAE",
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"VAELoader": "Load VAE",
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"LoraLoader": "Load LoRA",
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"LoraLoader": "Load LoRA (Model and CLIP)",
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"LoraLoaderModelOnly": "Load LoRA",
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"CLIPLoader": "Load CLIP",
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"CLIPLoader": "Load CLIP",
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"ControlNetLoader": "Load ControlNet Model",
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"ControlNetLoader": "Load ControlNet Model",
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"DiffControlNetLoader": "Load ControlNet Model (diff)",
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"DiffControlNetLoader": "Load ControlNet Model (diff)",
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