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https://github.com/comfyanonymous/ComfyUI.git
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Renamed ComfyNodeV3 to ComfyNode, renamed ComfyNodeInternal to _ComfyNodeInternal
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@@ -23,7 +23,7 @@ import nodes
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from comfy_api.v3 import io
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class StableCascade_EmptyLatentImage(io.ComfyNodeV3):
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class StableCascade_EmptyLatentImage(io.ComfyNode):
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@classmethod
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def define_schema(cls):
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return io.Schema(
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@@ -48,7 +48,7 @@ class StableCascade_EmptyLatentImage(io.ComfyNodeV3):
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return io.NodeOutput({"samples": c_latent}, {"samples": b_latent})
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class StableCascade_StageC_VAEEncode(io.ComfyNodeV3):
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class StableCascade_StageC_VAEEncode(io.ComfyNode):
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@classmethod
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def define_schema(cls):
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return io.Schema(
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@@ -79,7 +79,7 @@ class StableCascade_StageC_VAEEncode(io.ComfyNodeV3):
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return io.NodeOutput({"samples": c_latent}, {"samples": b_latent})
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class StableCascade_StageB_Conditioning(io.ComfyNodeV3):
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class StableCascade_StageB_Conditioning(io.ComfyNode):
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@classmethod
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def define_schema(cls):
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return io.Schema(
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@@ -105,7 +105,7 @@ class StableCascade_StageB_Conditioning(io.ComfyNodeV3):
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return io.NodeOutput(c)
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class StableCascade_SuperResolutionControlnet(io.ComfyNodeV3):
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class StableCascade_SuperResolutionControlnet(io.ComfyNode):
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@classmethod
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def define_schema(cls):
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return io.Schema(
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@@ -135,7 +135,7 @@ class StableCascade_SuperResolutionControlnet(io.ComfyNodeV3):
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return io.NodeOutput(controlnet_input, {"samples": c_latent}, {"samples": b_latent})
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NODES_LIST: list[type[io.ComfyNodeV3]] = [
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NODES_LIST: list[type[io.ComfyNode]] = [
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StableCascade_EmptyLatentImage,
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StableCascade_StageB_Conditioning,
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StableCascade_StageC_VAEEncode,
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