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.
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import json
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def deep_search(data, target_keys):
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results = {}
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def _search(obj):
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if isinstance(obj, dict):
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for k, v in obj.items():
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if k in target_keys:
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if k not in results: results[k] = []
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results[k].append(v)
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_search(v)
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elif isinstance(obj, list):
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for item in obj:
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_search(item)
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_search(data)
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return results
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f_fast = 'F:/AppsCrucial/ComfyUI_phoenix3/ComfyUI/custom_nodes/reference/multiframe/LTX23_MULTIFRAME.json'
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f_guide = 'F:/AppsCrucial/ComfyUI_phoenix3/ComfyUI/custom_nodes/reference/multiframe/LTX23_MULTIFRAME_GUIDE.json'
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keys = ['steps', 'width', 'height', 'frame_count', 'frames', 'denoise', 'upscale_by', 'seed', 'sampler_name', 'scheduler']
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print("--- FAST ---")
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data_fast = json.load(open(f_fast, 'r', encoding='utf-8'))
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res_fast = deep_search(data_fast, keys)
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for k, v in res_fast.items():
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print(f"{k}: {v}")
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print("\n--- GUIDE ---")
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data_guide = json.load(open(f_guide, 'r', encoding='utf-8'))
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res_guide = deep_search(data_guide, keys)
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for k, v in res_guide.items():
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print(f"{k}: {v}")
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