alphard/Comfyui-LayerForge
1
0
Fork 0
mirror of https://github.com/Azornes/Comfyui-LayerForge.git synced 2026-03-25 14:25:44 -03:00
Code Issues Packages Projects Releases Wiki Activity

Remove cache and output switch options from CanvasNode

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files

10
canvas_node.py
View File

@@ -91,7 +91,6 @@ class CanvasNode:
_canvas_cache = { _canvas_cache = {
'image': None, 'image': None,
'mask': None, 'mask': None,
'cache_enabled': True,
'data_flow_status': {}, 'data_flow_status': {},
'persistent_cache': {}, 'persistent_cache': {},
'last_execution_id': None 'last_execution_id': None
@@ -169,8 +168,6 @@ class CanvasNode:
return { return {
"required": { "required": {
"trigger": ("INT", {"default": 0, "min": 0, "max": 99999999, "step": 1, "hidden": True}), "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}), "node_id": ("STRING", {"default": "0", "hidden": True}),
}, },
"optional": { "optional": {
@@ -237,7 +234,7 @@ class CanvasNode:
_processing_lock = threading.Lock() _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): input_mask=None):
try: try:
@@ -290,11 +287,6 @@ class CanvasNode:
log_warn(f"Processed mask is still None, creating default blank mask.") log_warn(f"Processed mask is still None, creating default blank mask.")
processed_mask = torch.zeros((1, 512, 512), dtype=torch.float32) 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}") log_debug(f"About to return output - Image shape: {processed_image.shape}, Mask shape: {processed_mask.shape}")
self.update_persistent_cache() self.update_persistent_cache()