crlf to lf
This commit is contained in:
+176
-176
@@ -1,177 +1,177 @@
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import numpy as np
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import time
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from nodes import LoadImage
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from PIL import Image
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from .apis import addImageCache
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def define_comfyui_nodes(sdppp):
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def validate_sdppp():
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if not sdppp.has_ps_instance():
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return 'Photoshop is not connected'
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return True
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def call_async_func_in_server_thread(coro, dontwait = False):
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handle = {
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'done': False,
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'result': None,
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'error': None
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}
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loop = sdppp.loop
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async def do_call():
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try:
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handle['result'] = await coro
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except Exception as e:
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handle['error'] = e
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finally:
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handle['done'] = True
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loop.create_task(do_call())
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if not dontwait:
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while not handle['done']:
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pass
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if handle['error'] is not None:
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raise handle['error']
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else:
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return handle['result']
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else:
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return None
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class GetImageFromPhotoshopLayerNode:
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@classmethod
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def VALIDATE_INPUTS(s, layer):
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return validate_sdppp()
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@classmethod
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def IS_CHANGED(self, layer, use_layer_bounds):
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if not sdppp.has_ps_instance():
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return np.random.rand()
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else:
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photoshopInstance = sdppp.get_ps_instance()
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id = photoshopInstance.layer_name_to_id(layer)
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bounds_id = photoshopInstance.layer_name_to_id(use_layer_bounds, id)
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start = time.time()
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is_changed, history_state_id = call_async_func_in_server_thread(photoshopInstance.check_layer_bounds_combo_changed(id, bounds_id))
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if is_changed and history_state_id is None:
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return np.random.rand()
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photoshopInstance.update_comfyui_last_value(id, bounds_id, history_state_id)
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return history_state_id
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@classmethod
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def INPUT_TYPES(cls):
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if validate_sdppp() is not True:
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layer_strs = []
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bounds_strs = []
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else:
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layer_strs = sdppp.get_ps_instance().get_base_layers()
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bounds_strs = sdppp.get_ps_instance().get_bounds_layers()
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return {
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"required": {
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"layer": (layer_strs, {"default": layer_strs[0] if len(layer_strs) > 0 else None}),
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"use_layer_bounds": (bounds_strs, {"default": bounds_strs[0] if len(bounds_strs) > 0 else None}),
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}
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}
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RETURN_TYPES = ("IMAGE", "MASK", "FLOAT")
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RETURN_NAMES = ("image_out", "mask_out", "layer_opacity")
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FUNCTION = "get_image"
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CATEGORY = "Photoshop"
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def get_image(self, layer, use_layer_bounds):
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if validate_sdppp() is not True:
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raise ValueError('Photoshop is not connected')
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photoshopInstance = sdppp.get_ps_instance()
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id = photoshopInstance.layer_name_to_id(layer)
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bounds_id = photoshopInstance.layer_name_to_id(use_layer_bounds, id)
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start = time.time()
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image_id, layer_opacity = call_async_func_in_server_thread(photoshopInstance.get_image(layer_id=id, bounds_id=bounds_id))
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loadImage = LoadImage()
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(output_image, output_mask) = loadImage.load_image(image_id)
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return (output_image, output_mask, layer_opacity / 100)
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class SendImageToPhotoshopLayerNode:
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@classmethod
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def VALIDATE_INPUTS(s, images):
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return validate_sdppp()
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@classmethod
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def INPUT_TYPES(cls):
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if validate_sdppp() is not True:
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layer_strs = []
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else:
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layer_strs = sdppp.get_ps_instance().get_set_layers()
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return {
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"required": {
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"images": ("IMAGE", ),
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"layer": (layer_strs, {"default": layer_strs[0] if len(layer_strs) > 0 else None}),
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}
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}
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RETURN_TYPES = ()
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FUNCTION = "send_image"
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CATEGORY = "Photoshop"
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OUTPUT_NODE = True
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def send_image(self, images, layer):
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if validate_sdppp() is not True:
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raise ValueError('Photoshop is not connected')
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photoshopInstance = sdppp.get_ps_instance()
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image_ids = []
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for (batch_number, image) in enumerate(images):
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i = 255. * image.cpu().numpy()
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img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
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image_ids.append(addImageCache(img))
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layer_id = photoshopInstance.layer_name_to_id(layer)
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call_async_func_in_server_thread(photoshopInstance.send_images(image_ids=image_ids, layer_id=layer_id), True)
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return (None,)
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class ImageTimesOpacity:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"images": ("IMAGE", ),
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"opacity": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 1.0, "step": 0.01}),
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}
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "image_times_opacity"
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CATEGORY = "Photoshop"
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def image_times_opacity(self, images, opacity):
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image_out = images * opacity
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return (image_out,)
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class MaskTimesOpacity:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"masks": ("MASK", ),
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"opacity": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 1.0, "step": 0.01}),
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}
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}
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RETURN_TYPES = ("MASK",)
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FUNCTION = "mask_times_opacity"
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CATEGORY = "Photoshop"
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def mask_times_opacity(self, masks, opacity):
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mask_out = masks * opacity
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return (mask_out,)
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return {
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'GetImageFromPhotoshopLayerNode': GetImageFromPhotoshopLayerNode,
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'SendImageToPhotoshopLayerNode': SendImageToPhotoshopLayerNode,
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'ImageTimesOpacity': ImageTimesOpacity,
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'MaskTimesOpacity': MaskTimesOpacity,
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import numpy as np
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import time
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from nodes import LoadImage
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from PIL import Image
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from .apis import addImageCache
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def define_comfyui_nodes(sdppp):
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def validate_sdppp():
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if not sdppp.has_ps_instance():
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return 'Photoshop is not connected'
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return True
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def call_async_func_in_server_thread(coro, dontwait = False):
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handle = {
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'done': False,
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'result': None,
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'error': None
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}
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loop = sdppp.loop
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async def do_call():
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try:
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handle['result'] = await coro
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except Exception as e:
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handle['error'] = e
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finally:
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handle['done'] = True
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loop.create_task(do_call())
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if not dontwait:
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while not handle['done']:
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pass
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if handle['error'] is not None:
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raise handle['error']
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else:
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return handle['result']
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else:
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return None
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class GetImageFromPhotoshopLayerNode:
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@classmethod
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def VALIDATE_INPUTS(s, layer):
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return validate_sdppp()
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@classmethod
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def IS_CHANGED(self, layer, use_layer_bounds):
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if not sdppp.has_ps_instance():
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return np.random.rand()
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else:
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photoshopInstance = sdppp.get_ps_instance()
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id = photoshopInstance.layer_name_to_id(layer)
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bounds_id = photoshopInstance.layer_name_to_id(use_layer_bounds, id)
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start = time.time()
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is_changed, history_state_id = call_async_func_in_server_thread(photoshopInstance.check_layer_bounds_combo_changed(id, bounds_id))
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if is_changed and history_state_id is None:
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return np.random.rand()
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photoshopInstance.update_comfyui_last_value(id, bounds_id, history_state_id)
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return history_state_id
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@classmethod
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def INPUT_TYPES(cls):
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if validate_sdppp() is not True:
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layer_strs = []
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bounds_strs = []
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else:
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layer_strs = sdppp.get_ps_instance().get_base_layers()
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bounds_strs = sdppp.get_ps_instance().get_bounds_layers()
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return {
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"required": {
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"layer": (layer_strs, {"default": layer_strs[0] if len(layer_strs) > 0 else None}),
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"use_layer_bounds": (bounds_strs, {"default": bounds_strs[0] if len(bounds_strs) > 0 else None}),
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}
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}
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RETURN_TYPES = ("IMAGE", "MASK", "FLOAT")
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RETURN_NAMES = ("image_out", "mask_out", "layer_opacity")
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FUNCTION = "get_image"
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CATEGORY = "Photoshop"
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def get_image(self, layer, use_layer_bounds):
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if validate_sdppp() is not True:
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raise ValueError('Photoshop is not connected')
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photoshopInstance = sdppp.get_ps_instance()
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id = photoshopInstance.layer_name_to_id(layer)
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bounds_id = photoshopInstance.layer_name_to_id(use_layer_bounds, id)
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start = time.time()
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image_id, layer_opacity = call_async_func_in_server_thread(photoshopInstance.get_image(layer_id=id, bounds_id=bounds_id))
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loadImage = LoadImage()
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(output_image, output_mask) = loadImage.load_image(image_id)
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return (output_image, output_mask, layer_opacity / 100)
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class SendImageToPhotoshopLayerNode:
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@classmethod
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def VALIDATE_INPUTS(s, images):
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return validate_sdppp()
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@classmethod
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def INPUT_TYPES(cls):
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if validate_sdppp() is not True:
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layer_strs = []
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else:
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layer_strs = sdppp.get_ps_instance().get_set_layers()
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return {
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"required": {
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"images": ("IMAGE", ),
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"layer": (layer_strs, {"default": layer_strs[0] if len(layer_strs) > 0 else None}),
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}
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}
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RETURN_TYPES = ()
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FUNCTION = "send_image"
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CATEGORY = "Photoshop"
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OUTPUT_NODE = True
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def send_image(self, images, layer):
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if validate_sdppp() is not True:
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raise ValueError('Photoshop is not connected')
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photoshopInstance = sdppp.get_ps_instance()
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image_ids = []
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for (batch_number, image) in enumerate(images):
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i = 255. * image.cpu().numpy()
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img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
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image_ids.append(addImageCache(img))
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layer_id = photoshopInstance.layer_name_to_id(layer)
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call_async_func_in_server_thread(photoshopInstance.send_images(image_ids=image_ids, layer_id=layer_id), True)
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return (None,)
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class ImageTimesOpacity:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"images": ("IMAGE", ),
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"opacity": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 1.0, "step": 0.01}),
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}
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "image_times_opacity"
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CATEGORY = "Photoshop"
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def image_times_opacity(self, images, opacity):
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image_out = images * opacity
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return (image_out,)
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class MaskTimesOpacity:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"masks": ("MASK", ),
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"opacity": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 1.0, "step": 0.01}),
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}
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}
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RETURN_TYPES = ("MASK",)
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FUNCTION = "mask_times_opacity"
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CATEGORY = "Photoshop"
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def mask_times_opacity(self, masks, opacity):
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mask_out = masks * opacity
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return (mask_out,)
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return {
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'GetImageFromPhotoshopLayerNode': GetImageFromPhotoshopLayerNode,
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'SendImageToPhotoshopLayerNode': SendImageToPhotoshopLayerNode,
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'ImageTimesOpacity': ImageTimesOpacity,
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'MaskTimesOpacity': MaskTimesOpacity,
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}
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