diff --git a/comfy_extras/v3/nodes_controlnet.py b/comfy_extras/v3/nodes_controlnet.py index 3dad4add6..12d91a1ce 100644 --- a/comfy_extras/v3/nodes_controlnet.py +++ b/comfy_extras/v3/nodes_controlnet.py @@ -11,67 +11,25 @@ class ControlNetApplyAdvanced_V3(io.ComfyNodeV3): display_name="Apply ControlNet _V3", category="conditioning/controlnet", inputs=[ - io.Conditioning.Input( - "positive", - display_name="positive", - ), - io.Conditioning.Input( - "negative", - display_name="negative", - ), - io.ControlNet.Input( - "control_net", - display_name="control_net", - ), - io.Image.Input( - "image", - display_name="image", - ), - io.Float.Input( - "strength", - display_name="strength", - default=1.0, - min=0.0, - max=10.0, - step=0.01, - ), - io.Float.Input( - "start_percent", - display_name="start percent", - default=0.0, - min=0.0, - max=1.0, - step=0.001, - ), - io.Float.Input( - "end_percent", - display_name="end percent", - default=1.0, - min=0.0, - max=1.0, - step=0.001, - ), - io.Vae.Input( - "vae", - optional=True, - ), + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.ControlNet.Input("control_net"), + io.Image.Input("image"), + io.Float.Input("strength", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("start_percent", default=0.0, min=0.0, max=1.0, step=0.001), + io.Float.Input("end_percent", default=1.0, min=0.0, max=1.0, step=0.001), + io.Vae.Input("vae", optional=True), ], outputs=[ - io.Conditioning.Output( - "positive_out", - display_name="positive", - ), - io.Conditioning.Output( - "negative_out", - display_name="negative", - ), + io.Conditioning.Output("positive_out", display_name="positive"), + io.Conditioning.Output("negative_out", display_name="negative"), ], ) @classmethod - def execute(cls, positive, negative, control_net, image, strength, start_percent, end_percent, vae=None, extra_concat=[]): + def execute(cls, positive, negative, control_net, image, strength, start_percent, end_percent, vae=None, extra_concat=[]) -> io.NodeOutput: if strength == 0: - return (positive, negative) + return io.NodeOutput(positive, negative) control_hint = image.movedim(-1,1) cnets = {} @@ -95,7 +53,7 @@ class ControlNetApplyAdvanced_V3(io.ComfyNodeV3): n = [t[0], d] c.append(n) out.append(c) - return (out[0], out[1]) + return io.NodeOutput(out[0], out[1]) class SetUnionControlNetType_V3(io.ComfyNodeV3): @@ -105,25 +63,16 @@ class SetUnionControlNetType_V3(io.ComfyNodeV3): node_id="SetUnionControlNetType_V3", category="conditioning/controlnet", inputs=[ - io.ControlNet.Input( - "control_net", - display_name="control_net", - ), - io.Combo.Input( - "type", - options=["auto"] + list(UNION_CONTROLNET_TYPES.keys()), - ), + io.ControlNet.Input("control_net"), + io.Combo.Input("type", options=["auto"] + list(UNION_CONTROLNET_TYPES.keys())), ], outputs=[ - io.ControlNet.Output( - "control_net_out", - display_name="control_net", - ), + io.ControlNet.Output("control_net_out"), ], ) @classmethod - def execute(cls, control_net, type): + def execute(cls, control_net, type) -> io.NodeOutput: control_net = control_net.copy() type_number = UNION_CONTROLNET_TYPES.get(type, -1) if type_number >= 0: @@ -131,7 +80,7 @@ class SetUnionControlNetType_V3(io.ComfyNodeV3): else: control_net.set_extra_arg("control_type", []) - return (control_net,) + return io.NodeOutput(control_net) class ControlNetInpaintingAliMamaApply_V3(ControlNetApplyAdvanced_V3): @@ -141,70 +90,24 @@ class ControlNetInpaintingAliMamaApply_V3(ControlNetApplyAdvanced_V3): node_id="ControlNetInpaintingAliMamaApply_V3", category="conditioning/controlnet", inputs=[ - io.Conditioning.Input( - "positive", - display_name="positive", - ), - io.Conditioning.Input( - "negative", - display_name="negative", - ), - io.ControlNet.Input( - "control_net", - display_name="control_net", - ), - io.Vae.Input( - "vae", - display_name="vae", - ), - io.Image.Input( - "image", - display_name="image", - ), - io.Mask.Input( - "mask", - display_name="mask", - ), - io.Float.Input( - "strength", - display_name="strength", - default=1.0, - min=0.0, - max=10.0, - step=0.01, - ), - io.Float.Input( - "start_percent", - display_name="start percent", - default=0.0, - min=0.0, - max=1.0, - step=0.001, - ), - io.Float.Input( - "end_percent", - display_name="end percent", - default=1.0, - min=0.0, - max=1.0, - step=0.001, - ), - + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.ControlNet.Input("control_net"), + io.Vae.Input("vae"), + io.Image.Input("image"), + io.Mask.Input("mask"), + io.Float.Input("strength", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("start_percent", default=0.0, min=0.0, max=1.0, step=0.001), + io.Float.Input("end_percent", default=1.0, min=0.0, max=1.0, step=0.001), ], outputs=[ - io.Conditioning.Output( - "positive_out", - display_name="positive", - ), - io.Conditioning.Output( - "negative_out", - display_name="negative", - ), + io.Conditioning.Output("positive_out", display_name="positive"), + io.Conditioning.Output("negative_out", display_name="negative"), ], ) @classmethod - def execute(cls, positive, negative, control_net, vae, image, mask, strength, start_percent, end_percent): + def execute(cls, positive, negative, control_net, vae, image, mask, strength, start_percent, end_percent) -> io.NodeOutput: extra_concat = [] if control_net.concat_mask: mask = 1.0 - mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1]))