mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-02-01 17:20:17 +08:00
bbbdc8430b
Add search aliases to model-related and miscellaneous nodes: - Model nodes: nodes_model_merging.py, nodes_model_advanced.py, nodes_lora_extract.py - Sampler nodes: nodes_custom_sampler.py, nodes_align_your_steps.py - Control nodes: nodes_controlnet.py, nodes_attention_multiply.py, nodes_hooks.py - Training nodes: nodes_train.py, nodes_dataset.py - Utility nodes: nodes_logic.py, nodes_canny.py, nodes_differential_diffusion.py - Architecture-specific: nodes_sd3.py, nodes_pixart.py, nodes_lumina2.py, nodes_kandinsky5.py, nodes_hidream.py, nodes_fresca.py, nodes_hunyuan3d.py - Media nodes: nodes_load_3d.py, nodes_webcam.py, nodes_preview_any.py, nodes_wanmove.py Uses search_aliases parameter in io.Schema() for v3 nodes, SEARCH_ALIASES class attribute for legacy nodes.
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
from kornia.filters import canny
|
|
from typing_extensions import override
|
|
|
|
import comfy.model_management
|
|
from comfy_api.latest import ComfyExtension, io
|
|
|
|
|
|
class Canny(io.ComfyNode):
|
|
@classmethod
|
|
def define_schema(cls):
|
|
return io.Schema(
|
|
node_id="Canny",
|
|
search_aliases=["edge detection", "outline", "contour detection", "line art"],
|
|
category="image/preprocessors",
|
|
inputs=[
|
|
io.Image.Input("image"),
|
|
io.Float.Input("low_threshold", default=0.4, min=0.01, max=0.99, step=0.01),
|
|
io.Float.Input("high_threshold", default=0.8, min=0.01, max=0.99, step=0.01),
|
|
],
|
|
outputs=[io.Image.Output()],
|
|
)
|
|
|
|
@classmethod
|
|
def detect_edge(cls, image, low_threshold, high_threshold):
|
|
# Deprecated: use the V3 schema's `execute` method instead of this.
|
|
return cls.execute(image, low_threshold, high_threshold)
|
|
|
|
@classmethod
|
|
def execute(cls, image, low_threshold, high_threshold) -> io.NodeOutput:
|
|
output = canny(image.to(comfy.model_management.get_torch_device()).movedim(-1, 1), low_threshold, high_threshold)
|
|
img_out = output[1].to(comfy.model_management.intermediate_device()).repeat(1, 3, 1, 1).movedim(1, -1)
|
|
return io.NodeOutput(img_out)
|
|
|
|
|
|
class CannyExtension(ComfyExtension):
|
|
@override
|
|
async def get_node_list(self) -> list[type[io.ComfyNode]]:
|
|
return [Canny]
|
|
|
|
|
|
async def comfy_entrypoint() -> CannyExtension:
|
|
return CannyExtension()
|