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.
57 lines
2.3 KiB
Python
57 lines
2.3 KiB
Python
import json
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def trace_sampler(path):
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with open(path, 'r', encoding='utf-8') as f:
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data = json.load(f)
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nodes = {n['id']: n for n in data.get('nodes', [])}
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links = {l[0]: l for l in data.get('links', [])} # id, source_node, source_output, target_node, target_input, type
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# In 'FAST' workflow, the samplers are likely buried in 'definitions'
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# But let's look for any sampler-like node in the main flow
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print(f"\n--- Tracing in {path} ---")
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# Find nodes that look like samplers
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samplers = []
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for node_id, node in nodes.items():
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ntype = node.get('type')
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if ntype and ('Sampler' in ntype or '-Sampler' in ntype):
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samplers.append(node)
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# If no samplers in main flow, it's definitely in definitions
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if not samplers:
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print("No samplers in main flow. Checking definitions/subgraphs.")
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# Some workflows store subgraphs in 'extra' or 'definitions'
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# Let's just search the whole text for 'Sampler' inside the JSON
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pass
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# Let's search for the MultiImageLoader output
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loader = None
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for node_id, node in nodes.items():
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if node.get('type') == 'MultiImageLoader':
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loader = node
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break
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if loader:
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print(f"Found MultiImageLoader (ID {loader['id']})")
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# Find where its outputs go
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for link_id, link in links.items():
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if link[1] == loader['id']:
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target_node_id = link[3]
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target_node = nodes.get(target_node_id)
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print(f" Output goes to: Node {target_node_id} ({target_node.get('type') if target_node else 'Unknown'})")
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# Let's search for LTXVMultiGuide or similar in the WHOLE file (raw text)
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with open(path, 'r', encoding='utf-8') as f:
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content = f.read()
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if 'LTXVMultiGuide' in content:
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print("Found 'LTXVMultiGuide' in the file!")
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else:
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print("Did NOT find 'LTXVMultiGuide' in the file.")
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if 'LTXVConcatAVLatent' in content:
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print("Found 'LTXVConcatAVLatent' in the file!")
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trace_sampler('F:/AppsCrucial/ComfyUI_phoenix3/ComfyUI/custom_nodes/reference/multiframe/LTX23_MULTIFRAME.json')
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trace_sampler('F:/AppsCrucial/ComfyUI_phoenix3/ComfyUI/custom_nodes/reference/multiframe/LTX23_MULTIFRAME_GUIDE.json')
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