convert nodes_ip2p.pt to V3 schema (#10097)

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Alexander Piskun 2025-10-01 22:20:30 +03:00 committed by GitHub
parent d9c0a4053d
commit e4f99b479a
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@ -1,21 +1,30 @@
import torch
class InstructPixToPixConditioning:
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io
class InstructPixToPixConditioning(io.ComfyNode):
@classmethod
def INPUT_TYPES(s):
return {"required": {"positive": ("CONDITIONING", ),
"negative": ("CONDITIONING", ),
"vae": ("VAE", ),
"pixels": ("IMAGE", ),
}}
def define_schema(cls):
return io.Schema(
node_id="InstructPixToPixConditioning",
category="conditioning/instructpix2pix",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),
io.Vae.Input("vae"),
io.Image.Input("pixels"),
],
outputs=[
io.Conditioning.Output(display_name="positive"),
io.Conditioning.Output(display_name="negative"),
io.Latent.Output(display_name="latent"),
],
)
RETURN_TYPES = ("CONDITIONING","CONDITIONING","LATENT")
RETURN_NAMES = ("positive", "negative", "latent")
FUNCTION = "encode"
CATEGORY = "conditioning/instructpix2pix"
def encode(self, positive, negative, pixels, vae):
@classmethod
def execute(cls, positive, negative, pixels, vae) -> io.NodeOutput:
x = (pixels.shape[1] // 8) * 8
y = (pixels.shape[2] // 8) * 8
@ -38,8 +47,17 @@ class InstructPixToPixConditioning:
n = [t[0], d]
c.append(n)
out.append(c)
return (out[0], out[1], out_latent)
return io.NodeOutput(out[0], out[1], out_latent)
class InstructPix2PixExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[io.ComfyNode]]:
return [
InstructPixToPixConditioning,
]
async def comfy_entrypoint() -> InstructPix2PixExtension:
return InstructPix2PixExtension()
NODE_CLASS_MAPPINGS = {
"InstructPixToPixConditioning": InstructPixToPixConditioning,
}