Marco
793402f93f
This commit introduces several new performance-oriented custom nodes and utilities: - Added LTXV Multi Concat and LTXV Multi Concat (beta) for faster frame injection using latent inpainting logic. - Refactored LTXV index resolution logic into ltxv_utils.py. - Updated ImageListSampler to anchor edge frames properly and support output index normalization scaling via target_frames. - Added metadata-based prompt extraction image loaders (LoadImageAndExtractPrompt, FolderImageAndExtractPrompt, and FolderImageMetadataByName). - Included animation tracking and camera switcher nodes.
65 lines
2.5 KiB
Python
65 lines
2.5 KiB
Python
import json
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import sys
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# Ensure stdout handles UTF-8
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if sys.stdout.encoding != 'utf-8':
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sys.stdout.reconfigure(encoding='utf-8')
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def load_json(path):
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with open(path, 'r', encoding='utf-8') as f:
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return json.load(f)
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def find_samplers(workflow):
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samplers = []
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# ComfyUI workflows can be in 'prompt' format (API) or 'workflow' format (UI)
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# The JSONs from ComfyUI are usually the UI format OR the prompt format.
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# If it's the UI format, it has 'nodes'. If it's the API format, it's just a dict of nodes.
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nodes = workflow.get('nodes', [])
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if not nodes:
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# Check if it's the API format
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for node_id, node_data in workflow.items():
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if isinstance(node_data, dict) and 'class_type' in node_data:
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samplers.append({
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'id': node_id,
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'type': node_data['class_type'],
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'inputs': node_data.get('inputs', {})
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})
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else:
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for node in nodes:
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class_type = node.get('type')
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if class_type and ('Sampler' in class_type or 'Sampler' in node.get('comfyClass', '')):
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samplers.append({
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'id': node.get('id'),
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'type': class_type,
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'properties': node.get('properties'),
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'widgets_values': node.get('widgets_values'),
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'inputs': node.get('inputs')
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})
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return samplers
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def analyze_workflow(path):
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wf = load_json(path)
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print(f"\n--- Detailed Analysis for {path} ---")
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nodes = wf.get('nodes', [])
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if not nodes:
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# API format
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for node_id, node_data in wf.items():
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if isinstance(node_data, dict) and 'class_type' in node_data:
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print(f"Node {node_id}: {node_data['class_type']}")
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print(f" Inputs: {node_data.get('inputs')}")
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else:
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# UI format
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for node in nodes:
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print(f"Node {node.get('id')}: {node.get('type')}")
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print(f" Widgets: {node.get('widgets_values')}")
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# Also try to print inputs link count
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inputs = node.get('inputs', [])
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if inputs:
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print(f" Inputs count: {len(inputs)}")
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if __name__ == "__main__":
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analyze_workflow("F:/AppsCrucial/ComfyUI_phoenix3/ComfyUI/custom_nodes/reference/multiframe/LTX23_MULTIFRAME.json")
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analyze_workflow("F:/AppsCrucial/ComfyUI_phoenix3/ComfyUI/custom_nodes/reference/multiframe/LTX23_MULTIFRAME_GUIDE.json")
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