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Remove cache and output switch options from CanvasNode

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Eliminated the 'cache_enabled' and 'output_switch' parameters and related logic from CanvasNode. This simplifies the node's configuration and processing flow by removing unused or redundant options.
This commit is contained in:
Dariusz L
2025-06-28 01:55:51 +02:00
parent f76f047fa6
commit f8f7583c1c
1 changed files with 1 additions and 9 deletions
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10
canvas_node.py
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@@ -91,7 +91,6 @@ class CanvasNode:
_canvas_cache = {
'image': None,
'mask': None,
'cache_enabled': True,
'data_flow_status': {},
'persistent_cache': {},
'last_execution_id': None
@@ -169,8 +168,6 @@ class CanvasNode:
return {
"required": {
"trigger": ("INT", {"default": 0, "min": 0, "max": 99999999, "step": 1, "hidden": True}),
"output_switch": ("BOOLEAN", {"default": True}),
"cache_enabled": ("BOOLEAN", {"default": True, "label": "Enable Cache"}),
"node_id": ("STRING", {"default": "0", "hidden": True}),
},
"optional": {
@@ -237,7 +234,7 @@ class CanvasNode:
_processing_lock = threading.Lock()
def process_canvas_image(self, trigger, output_switch, cache_enabled, node_id, prompt=None, unique_id=None, input_image=None,
def process_canvas_image(self, trigger, node_id, prompt=None, unique_id=None, input_image=None,
input_mask=None):
try:
@@ -290,11 +287,6 @@ class CanvasNode:
log_warn(f"Processed mask is still None, creating default blank mask.")
processed_mask = torch.zeros((1, 512, 512), dtype=torch.float32)
if not output_switch:
log_debug(f"Output switch is OFF, returning empty tuple")
return (None, None)
log_debug(f"About to return output - Image shape: {processed_image.shape}, Mask shape: {processed_mask.shape}")
self.update_persistent_cache()