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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
41 lines
1.7 KiB
Python
41 lines
1.7 KiB
Python
class PatchKeys:
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################## transformer_options patches ##################
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running_net_model = "running_net_model"
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options_key = "patches_point"
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# patches_point下支持设置的补丁
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dit_enter = "patch_dit_enter"
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dit_blocks_before = "patch_dit_blocks_before"
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dit_double_blocks_replace = "patch_dit_double_blocks_replace"
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dit_double_blocks_after = "patch_dit_double_blocks_after"
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dit_blocks_transition_replace = "patch_dit_blocks_transition_replace"
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dit_single_blocks_before = "patch_dit_single_blocks_before"
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dit_single_blocks_replace = "patch_dit_single_blocks_replace"
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dit_blocks_after = "patch_dit_blocks_after"
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dit_blocks_after_transition_replace = "patch_dit_final_layer_before_replace"
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dit_final_layer_before = "patch_dit_final_layer_before"
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dit_exit = "patch_dit_exit"
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################## transformer_options patches ##################
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# pulid
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pulid_patch_key_attrs = "pulid_temp_attr"
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def set_model_patch(model_patcher, options_key, patch, name):
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to = model_patcher.model_options["transformer_options"]
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if options_key not in to:
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to[options_key] = {}
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to[options_key][name] = to[options_key].get(name, []) + [patch]
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def set_model_patch_replace(model_patcher, options_key, patch, name):
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to = model_patcher.model_options["transformer_options"]
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if options_key not in to:
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to[options_key] = {}
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to[options_key][name] = patch
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def add_model_patch_option(model, patch_key):
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if 'transformer_options' not in model.model_options:
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model.model_options['transformer_options'] = {}
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to = model.model_options['transformer_options']
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if patch_key not in to:
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to[patch_key] = {}
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return to[patch_key] |