refactor all control processors to support unload and offload

modules/control/proc/openpose/__init__.py

@@ -6,27 +6,23 @@
 # 5th Edited by ControlNet (Improved JSON serialization/deserialization, and lots of bug fixs)
 # This preprocessor is licensed by CMU for non-commercial use only.
 
-
 import os
-
 os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
-
-import json
 import warnings
-from typing import Callable, List, NamedTuple, Tuple, Union
-
+from typing import List, NamedTuple, Tuple, Union
 import cv2
 import numpy as np
-import torch
 from huggingface_hub import hf_hub_download
 from PIL import Image
-
+from modules import devices
+from modules.shared import opts
 from modules.control.util import HWC3, resize_image
 from . import util
 from .body import Body, BodyResult, Keypoint
 from .face import Face
 from .hand import Hand
 
+
 HandResult = List[Keypoint]
 FaceResult = List[Keypoint]
 
@@ -169,7 +165,7 @@ class OpenposeDetector:
             List[PoseResult]: A list of PoseResult objects containing the detected poses.
         """
         oriImg = oriImg[:, :, ::-1].copy()
-        H, W, C = oriImg.shape
+        H, W, _C = oriImg.shape
         candidate, subset = self.body_estimation(oriImg)
         bodies = self.body_estimation.format_body_result(candidate, subset)
 
@@ -196,11 +192,11 @@ class OpenposeDetector:
         return results
 
     def __call__(self, input_image, detect_resolution=512, image_resolution=512, include_body=True, include_hand=False, include_face=False, hand_and_face=None, output_type="pil", **kwargs):
+        self.to(devices.device)
         if hand_and_face is not None:
             warnings.warn("hand_and_face is deprecated. Use include_hand and include_face instead.", DeprecationWarning)
             include_hand = hand_and_face
             include_face = hand_and_face
-
         if "return_pil" in kwargs:
             warnings.warn("return_pil is deprecated. Use output_type instead.", DeprecationWarning)
             output_type = "pil" if kwargs["return_pil"] else "np"
@@ -208,26 +204,20 @@ class OpenposeDetector:
             warnings.warn("Passing `True` or `False` to `output_type` is deprecated and will raise an error in future versions")
             if output_type:
                 output_type = "pil"
-
         if not isinstance(input_image, np.ndarray):
             input_image = np.array(input_image, dtype=np.uint8)
-
         input_image = HWC3(input_image)
         input_image = resize_image(input_image, detect_resolution)
-        H, W, C = input_image.shape
-
+        H, W, _C = input_image.shape
         poses = self.detect_poses(input_image, include_hand, include_face)
         canvas = draw_poses(poses, H, W, draw_body=include_body, draw_hand=include_hand, draw_face=include_face)
-
         detected_map = canvas
         detected_map = HWC3(detected_map)
-
         img = resize_image(input_image, image_resolution)
-        H, W, C = img.shape
-
+        H, W, _C = img.shape
         detected_map = cv2.resize(detected_map, (W, H), interpolation=cv2.INTER_LINEAR)
-
+        if opts.control_move_processor:
+            self.to('cpu')
         if output_type == "pil":
             detected_map = Image.fromarray(detected_map)
-
         return detected_map