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@@ -2,37 +2,81 @@
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This project is a fork of https://github.com/Extraltodeus/LoadLoraWithTags
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The aim of these custom nodes is to get an _easy_ access to the tags used to trigger a lora.
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This project is compatible with Stacked Loras from https://github.com/LucianoCirino/efficiency-nodes-comfyui/releases
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I talk about **lora**, but works with **lycoris** too.
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This project is compatible with Stacked Loras from https://github.com/jags111/efficiency-nodes-comfyui
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When I talk about **lora**, I also mean **lycoris** too.
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## Install
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Some of this project nodes depends on https://github.com/pythongosssss/ComfyUI-Custom-Scripts :
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- LoraLoaderAdvanced
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- LoraLoaderStackedAdvanced
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They get their vanilla equivalents.
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- `View info...`
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They get their vanilla equivalents with less features
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Overall, Custom-Scripts is recommended to be able to know the content of the tag lists with the node `showText`
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## Features
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### Main nodes
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#### Vanilla vs Advanced
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Vanilla refers to nodes that have no lora preview from the menu, nor the lora list. But the features provided are the same.
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> Vanilla refers to nodes that have no lora preview from the menu, nor the lora list. But the features provided are the same.
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#### Nodes
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- LoraLoader (Vanilla or Advanced)
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- LoraLoaderStacked (Vanilla or Avanced). The stacked lora input is optional.
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Allow to load a lora, either the normal way, or the efficiency-nodes way.
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These loaders have two custom outputs:
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- civitai_tags_list: a python list of the tags related to this lora on civitai
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- meta_tags_list: a python list of the tags used for training the lora embeded in it (if any)
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This outputs needs to be filtered by two othere nodes:
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- TagsFormater: Helper to show the available tag and their indexes
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- tagsSelector: allow to filter tags and apply a weight to it.
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- TagSelector contains four parameters. First the selector (see Filtering next)
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- The weight `(tag:weight)`
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- The boolean `ensure_comma`. To properly append comma if a prefix or suffix is added.
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- The boolean `append_loraname_if_empty` which will add the name of the lora in the list of outputs if they are empty.
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#### Filtering
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### Nodes
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#### LoraLoader (Vanilla and Advanced)
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INPUT
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- `override_lora_name` (optional): Used to ignore the field `lora_name` and use the name passed. Should use [LoraListNames](#loralistnames) or the `lora_name` output.
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FIELDS
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- `force_fetch`: Force the civitai fetching of data even if there is already something saved
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- `enable_preview`: Toggle on/off the saved lora preview if any (only in advanced)
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- `append_lora_if_empty`: Add the name of the lora to the list of tags if the list is empty
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OUTPUT
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- `civitai_tags_list`: a python list of the tags related to this lora on civitai
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- `meta_tags_list`: a python list of the tags used for training the lora embeded in it (if any)
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- `lora_name`: the name of the current selected lora
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#### LoraLoaderStacked (Vanilla and Avanced).
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INPUT
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- `lora_stack` (optional): another stack of lora.
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- `override_lora_name` (optional): Used to ignore the field `lora_name` and use the name passed. Should use [LoraListNames](#loralistnames) or the `lora_name` output.
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FIELDS
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- `force_fetch`: Force the civitai fetching of data even if there is already something saved
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- `enable_preview`: Toggle on/off the saved lora preview if any (only in advanced)
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- `append_lora_if_empty`: Add the name of the lora to the list of tags if the list is empty
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OUTPUT
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- `civitai_tags_list`: a python list of the tags related to this lora on civitai
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- `meta_tags_list`: a python list of the tags used for training the lora embeded in it (if any)
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- `lora_name`: the name of the current selected lora
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#### LoraTagsOnly
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To get the tags without using the lora.
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- `override_lora_name` (optional): Used to ignore the field `lora_name` and use the name passed. Should use [LoraListNames](#loralistnames) or the `lora_name` output.
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OUTPUT
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- `civitai_tags_list`: a python list of the tags related to this lora on civitai
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- `meta_tags_list`: a python list of the tags used for training the lora embeded in it (if any)
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- `lora_name`: the name of the current selected lora
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#### TagsFormater
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Helper to show the available tag and their indexes. Tags are sorted by training frequence. The more a tag was used, the higher in the list it is. Works for both `civitai_tags_list` and `meta_tags_list`
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#### TagsSelector
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Allow to filter tags and apply a weight to it.
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TagSelector contains four parameters.
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- `selector` (see the [Filtering](#filtering) section next)
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- `weight`: to format the tag like `(tag:weight)`. Default set to 1 without the weight like `tag`.
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- `ensure_comma`. To properly append comma if a prefix or suffix is added.
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#### LoraListNames
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List all the existing lora names. It is used as an input for `override_lora_name`
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### Filtering
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The format is simple. It's the same as python list index, but can select multiple index or ranges of indexes separated by comas.
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`Ex: 0, 3, 5:8, -8:`
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- Select a specific list of indexes: `0, 2, 3, 15`...
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@@ -42,6 +86,11 @@ The format is simple. It's the same as python list index, but can select multipl
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- You can use negative indexes. Like `-1` to select the last tag
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- By default `:` selects everything
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### View Info
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Pythongossss's [View Info...](https://github.com/pythongosssss/ComfyUI-Custom-Scripts?tab=readme-ov-file#checkpointloraembedding-info) feature from ComfyUI-Custom-Scripts
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### Examples
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#### Example of normal workflow
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@@ -55,5 +104,5 @@ Lora Stack can also be chained together to load multiple loras into an efficient
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### Side nodes I made and kept here
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- FusionText: takes two text input and join them together
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- Randomizer: takes two couples text+lorastack and return randomly one them
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- Randomizer: takes two couples text+lorastack and return randomly one of them
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- TextInputBasic: just a text input with two additional input for text chaining
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@@ -5,4 +5,5 @@ from .nodes_utils import NODE_CLASS_MAPPINGS as nu_NCM
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NODE_CLASS_MAPPINGS = dict(na_NCM, **nu_NCM)
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#NODE_DISPLAY_NAME_MAPPINGS = dict(na_NDNM, **nu_NDNM)
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__all__ = ["NODE_CLASS_MAPPINGS"]#, "NODE_DISPLAY_NAME_MAPPINGS"]
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WEB_DIRECTORY = "./web"
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__all__ = ["NODE_CLASS_MAPPINGS", "WEB_DIRECTORY"]#, "NODE_DISPLAY_NAME_MAPPINGS"]
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After Width: | Height: | Size: 158 KiB |
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After Width: | Height: | Size: 404 KiB |
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After Width: | Height: | Size: 316 KiB |
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After Width: | Height: | Size: 27 KiB |
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After Width: | Height: | Size: 233 KiB |
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After Width: | Height: | Size: 262 KiB |
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After Width: | Height: | Size: 24 KiB |
@@ -26,8 +26,8 @@ class LoraLoaderVanilla:
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}
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}
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RETURN_TYPES = ("MODEL", "CLIP", "LIST", "LIST")
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RETURN_NAMES = ("MODEL", "CLIP", "civitai_tags_list", "meta_tags_list")
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RETURN_TYPES = ("MODEL", "CLIP", "LIST", "LIST", "STRING")
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RETURN_NAMES = ("MODEL", "CLIP", "civitai_tags_list", "meta_tags_list", "lora_name")
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FUNCTION = "load_lora"
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CATEGORY = "autotrigger"
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@@ -56,7 +56,7 @@ class LoraLoaderVanilla:
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model_lora, clip_lora = load_lora_for_models(model, clip, lora, strength_model, strength_clip)
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return (model_lora, clip_lora, civitai_tags_list, meta_tags_list)
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return (model_lora, clip_lora, civitai_tags_list, meta_tags_list, lora_name)
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class LoraLoaderStackedVanilla:
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@classmethod
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@@ -75,8 +75,8 @@ class LoraLoaderStackedVanilla:
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}
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}
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RETURN_TYPES = ("LIST", "LIST", "LORA_STACK",)
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RETURN_NAMES = ("civitai_tags_list", "meta_tags_list", "LORA_STACK",)
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RETURN_TYPES = ("LIST", "LIST", "LORA_STACK", "STRING")
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RETURN_NAMES = ("civitai_tags_list", "meta_tags_list", "LORA_STACK", "lora_name")
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FUNCTION = "set_stack"
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#OUTPUT_NODE = False
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CATEGORY = "autotrigger"
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@@ -96,7 +96,7 @@ class LoraLoaderStackedVanilla:
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if lora_stack is not None:
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loras.extend(lora_stack)
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return (civitai_tags_list, meta_tags_list, loras)
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return (civitai_tags_list, meta_tags_list, loras, lora_name)
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class LoraLoaderAdvanced:
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def __init__(self):
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@@ -122,8 +122,8 @@ class LoraLoaderAdvanced:
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}
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}
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RETURN_TYPES = ("MODEL", "CLIP", "LIST", "LIST")
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RETURN_NAMES = ("MODEL", "CLIP", "civitai_tags_list", "meta_tags_list")
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RETURN_TYPES = ("MODEL", "CLIP", "LIST", "LIST", "STRING")
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RETURN_NAMES = ("MODEL", "CLIP", "civitai_tags_list", "meta_tags_list", "lora_name")
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FUNCTION = "load_lora"
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CATEGORY = "autotrigger"
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@@ -162,10 +162,10 @@ class LoraLoaderAdvanced:
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"subfolder": "lora_preview",
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"type": "temp"
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}
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return {"ui": {"images": [preview_output]}, "result": (model_lora, clip_lora, civitai_tags_list, meta_tags_list)}
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return {"ui": {"images": [preview_output]}, "result": (model_lora, clip_lora, civitai_tags_list, meta_tags_list, lora_name["content"])}
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return (model_lora, clip_lora, civitai_tags_list, meta_tags_list)
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return (model_lora, clip_lora, civitai_tags_list, meta_tags_list, lora_name["content"])
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class LoraLoaderStackedAdvanced:
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@classmethod
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@@ -186,8 +186,8 @@ class LoraLoaderStackedAdvanced:
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}
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}
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RETURN_TYPES = ("LIST", "LIST", "LORA_STACK",)
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RETURN_NAMES = ("civitai_tags_list", "meta_tags_list", "LORA_STACK",)
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RETURN_TYPES = ("LIST", "LIST", "LORA_STACK", "STRING")
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RETURN_NAMES = ("civitai_tags_list", "meta_tags_list", "LORA_STACK", "lora_name")
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FUNCTION = "set_stack"
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#OUTPUT_NODE = False
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CATEGORY = "autotrigger"
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@@ -218,9 +218,9 @@ class LoraLoaderStackedAdvanced:
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"subfolder": "lora_preview",
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"type": "temp"
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}
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return {"ui": {"images": [preview_output]}, "result": (civitai_tags_list, meta_tags_list, loras)}
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return {"ui": {"images": [preview_output]}, "result": (civitai_tags_list, meta_tags_list, loras, lora_name["content"])}
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return {"result": (civitai_tags_list, meta_tags_list, loras)}
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return {"result": (civitai_tags_list, meta_tags_list, loras, lora_name["content"])}
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class LoraTagsOnly:
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@classmethod
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@@ -68,7 +68,7 @@ def load_json_from_file(file_path):
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return None
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except json.JSONDecodeError:
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print(f"Error decoding JSON in file: {file_path}")
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return None
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raise
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def save_dict_to_json(data_dict, file_path):
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try:
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@@ -221,4 +221,4 @@ def append_lora_name_if_empty(tags_list, lora_path, enabled):
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filename = os.path.basename(filename)
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tags_list.append(filename)
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return tags_list
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return tags_list
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@@ -0,0 +1,36 @@
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import { app } from "../../../scripts/app.js";
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import { LoraInfoDialog } from "../../ComfyUI-Custom-Scripts/js/modelInfo.js";
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const infoHandlers = {
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"LoraLoaderVanilla":true,
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"LoraLoaderStackedVanilla":true,
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"LoraLoaderAdvanced":true,
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"LoraLoaderStackedAdvanced":true
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}
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app.registerExtension({
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name: "autotrigger.LoraInfo",
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beforeRegisterNodeDef(nodeType) {
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if (! infoHandlers[nodeType.comfyClass]) {
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return;
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}
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const getExtraMenuOptions = nodeType.prototype.getExtraMenuOptions;
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nodeType.prototype.getExtraMenuOptions = function (_, options) {
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let value = this.widgets[0].value;
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if (!value) {
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return;
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}
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if (value.content) {
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value = value.content;
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}
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options.unshift({
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content: "View info...",
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callback: async () => {
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new LoraInfoDialog(value).show("loras", value);
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},
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});
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return getExtraMenuOptions?.apply(this, arguments);
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};
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}
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});
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