convert nodes_controlnet.py to V3 schema (#10202)

This commit is contained in:
Alexander Piskun
2025-10-18 00:13:05 +03:00
committed by GitHub
parent b1467da480
commit 99ce2a1f66

View File

@@ -1,20 +1,26 @@
from comfy.cldm.control_types import UNION_CONTROLNET_TYPES
import nodes
import comfy.utils
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io
class SetUnionControlNetType:
class SetUnionControlNetType(io.ComfyNode):
@classmethod
def INPUT_TYPES(s):
return {"required": {"control_net": ("CONTROL_NET", ),
"type": (["auto"] + list(UNION_CONTROLNET_TYPES.keys()),)
}}
def define_schema(cls):
return io.Schema(
node_id="SetUnionControlNetType",
category="conditioning/controlnet",
inputs=[
io.ControlNet.Input("control_net"),
io.Combo.Input("type", options=["auto"] + list(UNION_CONTROLNET_TYPES.keys())),
],
outputs=[
io.ControlNet.Output(),
],
)
CATEGORY = "conditioning/controlnet"
RETURN_TYPES = ("CONTROL_NET",)
FUNCTION = "set_controlnet_type"
def set_controlnet_type(self, control_net, type):
@classmethod
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:
@@ -22,27 +28,36 @@ class SetUnionControlNetType:
else:
control_net.set_extra_arg("control_type", [])
return (control_net,)
return io.NodeOutput(control_net)
class ControlNetInpaintingAliMamaApply(nodes.ControlNetApplyAdvanced):
set_controlnet_type = execute # TODO: remove
class ControlNetInpaintingAliMamaApply(io.ComfyNode):
@classmethod
def INPUT_TYPES(s):
return {"required": {"positive": ("CONDITIONING", ),
"negative": ("CONDITIONING", ),
"control_net": ("CONTROL_NET", ),
"vae": ("VAE", ),
"image": ("IMAGE", ),
"mask": ("MASK", ),
"strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
"end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001})
}}
def define_schema(cls):
return io.Schema(
node_id="ControlNetInpaintingAliMamaApply",
category="conditioning/controlnet",
inputs=[
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(display_name="positive"),
io.Conditioning.Output(display_name="negative"),
],
)
FUNCTION = "apply_inpaint_controlnet"
CATEGORY = "conditioning/controlnet"
def apply_inpaint_controlnet(self, positive, negative, control_net, vae, image, mask, strength, start_percent, end_percent):
@classmethod
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]))
@@ -50,11 +65,20 @@ class ControlNetInpaintingAliMamaApply(nodes.ControlNetApplyAdvanced):
image = image * mask_apply.movedim(1, -1).repeat(1, 1, 1, image.shape[3])
extra_concat = [mask]
return self.apply_controlnet(positive, negative, control_net, image, strength, start_percent, end_percent, vae=vae, extra_concat=extra_concat)
result = nodes.ControlNetApplyAdvanced().apply_controlnet(positive, negative, control_net, image, strength, start_percent, end_percent, vae=vae, extra_concat=extra_concat)
return io.NodeOutput(result[0], result[1])
apply_inpaint_controlnet = execute # TODO: remove
class ControlNetExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[io.ComfyNode]]:
return [
SetUnionControlNetType,
ControlNetInpaintingAliMamaApply,
]
NODE_CLASS_MAPPINGS = {
"SetUnionControlNetType": SetUnionControlNetType,
"ControlNetInpaintingAliMamaApply": ControlNetInpaintingAliMamaApply,
}
async def comfy_entrypoint() -> ControlNetExtension:
return ControlNetExtension()