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https://github.com/comfyanonymous/ComfyUI.git
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Merge branch 'master' into feat/api-nodes/Luma-Ray-3.2
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commit
436b8ee2d9
@ -1583,7 +1583,7 @@ class LoadTrainingDataset(io.ComfyNode):
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shard_path = os.path.join(dataset_dir, shard_file)
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shard_path = os.path.join(dataset_dir, shard_file)
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with open(shard_path, "rb") as f:
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with open(shard_path, "rb") as f:
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shard_data = torch.load(f)
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shard_data = torch.load(f, weights_only=True)
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all_latents.extend(shard_data["latents"])
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all_latents.extend(shard_data["latents"])
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all_conditioning.extend(shard_data["conditioning"])
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all_conditioning.extend(shard_data["conditioning"])
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5
nodes.py
5
nodes.py
@ -20,8 +20,6 @@ from PIL.PngImagePlugin import PngInfo
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import numpy as np
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import numpy as np
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import safetensors.torch
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import safetensors.torch
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))
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import comfy.diffusers_load
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import comfy.diffusers_load
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import comfy.samplers
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import comfy.samplers
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import comfy.sample
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import comfy.sample
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@ -2299,6 +2297,9 @@ async def init_external_custom_nodes():
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Returns:
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Returns:
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None
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None
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"""
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"""
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# TODO: remove at some point when custom nodes don't break.
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))
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base_node_names = set(NODE_CLASS_MAPPINGS.keys())
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base_node_names = set(NODE_CLASS_MAPPINGS.keys())
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node_paths = folder_paths.get_folder_paths("custom_nodes")
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node_paths = folder_paths.get_folder_paths("custom_nodes")
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node_import_times = []
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node_import_times = []
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