Use the GPU for the canny preprocessor when available.

This commit is contained in:
comfyanonymous 2023-08-29 17:58:40 -04:00
parent 81d9200e18
commit d70b0bc43c
1 changed files with 3 additions and 3 deletions

View File

@ -3,7 +3,7 @@ import math
import torch
import torch.nn.functional as F
import comfy.model_management
def get_canny_nms_kernel(device=None, dtype=None):
"""Utility function that returns 3x3 kernels for the Canny Non-maximal suppression."""
@ -290,8 +290,8 @@ class Canny:
CATEGORY = "image/preprocessors"
def detect_edge(self, image, low_threshold, high_threshold):
output = canny(image.movedim(-1, 1), low_threshold, high_threshold)
img_out = output[1].repeat(1, 3, 1, 1).movedim(1, -1)
output = canny(image.to(comfy.model_management.get_torch_device()).movedim(-1, 1), low_threshold, high_threshold)
img_out = output[1].cpu().repeat(1, 3, 1, 1).movedim(1, -1)
return (img_out,)
NODE_CLASS_MAPPINGS = {