# Santodan Custom Nodes for ComfyUI This is a group of nodes that I've build to achieve my goals. --- # 🪄 Wildcard Manager Node The **Wildcard Manager** is a powerful dynamic prompt and wildcard processor. It allows you to create complex, randomized text prompts using a flexible syntax that supports nesting, weights, multi-selection, and more. It is designed to be compatible with the popular syntax used in the Impact Pack's Wildcard processor, making it easy to adopt existing prompts and wildcards.
It supports both .txt ( default one, not needing the extension) and YAML files ( both .yaml and .yml) Reading the files from the default ComfyUI folder ( `ComfyUi/Wildcards` ) ### ✨ Key Features & Syntax - **Dynamic Prompts:** Randomly select one item from a list. - Example: `{blue|red|green}` will randomly become `blue`, `red`, or `green`. - **Wildcards:** Randomly select a line from a `.txt` file in your `ComfyUI/wildcards` directory. - Example: `__person__` will pull a random line from `person.txt`. - **Nesting:** Combine syntaxes for complex results. - Example: `{a|{b|__c__}}` - **Randomize**: Randomize the wildcard independently from the seed. - Example: `__*person__` w ill always pulls a random line from person.txt, regardless of the seed. - Example: `{*red|blue|green}` always pulls a random item from the list, regardless of the seed. - **Sequential**: Use `+` to select items in order across different queue runs. - Example Wildcard: `__+person__` - Example Dynamic: `{+red|blue|green}` - **Weighted Choices:** Give certain options a higher chance of being selected. - Example: `{5::red|2::green|blue}` (red is most likely, blue is least). - **Multi-Select:** Select multiple items from a list, with a custom separator. - Example: `{1-2$$ and $$cat|dog|bird}` could become `cat`, `dog`, `bird`, `cat and dog`, `cat and bird`, or `dog and bird`. - **Quantifiers:** Repeat a wildcard multiple times to create a list for multi-selection. - Example: `{2$$, $$3#__colors__}` expands to select 2 items from `__colors__|__colors__|__colors__`. - **Comments:** Lines starting with `#` are ignored, both in the node's text field and within wildcard files. ### 🔧 Wildcard Manager Inputs - `wildcards_list`: A dropdown of your available wildcard files. Selecting one inserts its tag (e.g., `__person__`) into the text. - `processing_mode`: - **`line by line`**: Treats each line as a separate prompt for batch processing. - **`entire text as one`**: Processes the entire text block as a single prompt, preserving paragraphs. ### 🗂️ File Management The node includes buttons for managing your wildcard files directly from the ComfyUI interface, eliminating the need to manually edit text files. - **Insert Selected:** Insertes the selected wildcard to the text. - **Edit/Create Wildcard:** Opens the content of the wildcard currently selected in the dropdown in an editor, allowing you to make changes and save/create them. - You need to have the `[Create New]` selected in the `wildcards_list` dropdown - **Delete Selected:** Asks for confirmation and then permanently deletes the wildcard file selected in the dropdown. ## 📸 Screenshot / Demo - Wildcard - Entire Text As One ![wildcardEntireTextAsOne](preview/wildcardEntireTextAsOne.png) - Wildcard - Line By Line ![wildcardLineByLine](preview/wildcardLineByLine.png) - Wildcard - Comptability with PromptList for a batch processing ![wildcardPromptList](preview/wildcardPromptList.png) - Wildcard - View Content ![wildcardViewContent](preview/wildcardViewContent.png) --- # LoRAs Nodes ## 🎲 Randomize LoRAs Node The **Randomize LoRAs** node lets you experiment by randomly selecting LoRAs from a list and assigning randomized strengths. You can enable exclusive selection (just one LoRA) or allow multiple LoRAs to be mixed.
There are two nodes for this, the `Random LoRA Selector` and the `Random LoRA Selector to Model Selector`, the difference between them is that one uses the `lora_stack` and the other one applies the loras directly to the model. ## 🎲 Random LoRA Folder Selector The **Random LoRA Folder Selector** node lets you experiment by randomly selecting LoRAs from a doler and assigning randomized strengths. You can enable exclusive selection (just one LoRA) or allow multiple LoRAs to be mixed and how many to be selected by folder.
Additionally, if the LoRA includes trigger words (via `lora-info`), these are extracted and returned for use in prompts.
There are two nodes for this, the `Random LoRA Folder Selector` and the `Random LoRA Folder to Model Selector`, the difference between them is that one uses the `lora_stack` and the other one applies the loras directly to the model. > ✅ Compatible with [comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension) by using the `💊 CR Apply LoRA Stack` from [Suzie1 / Comfyroll_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes) > ✅ Compatible with [comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension) by using the [`LoRA Metadata Hub`](https://github.com/Santodan/santodan-custom-nodes-comfyui/?tab=readme-ov-file#lora-metadata-hub) ## 🎲🚫 Excluded Loras The **Excluded Loras** node lets you select 5 lroas to be excluded in the **Random LoRA Folder Selecto**, this way you don't need to worry about the select getting an unwanted lora from the folder ## 🎲⛏️ Extract And Apply LoRAs The **Extract And Apply LoRAs** node lets you extract the LoRAs that were saved using the [comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension) node and apply them to a workflow.
This was created so I could try to generate better enhancement workflow but with the same loras and weight as the initial one.
I would recommend use the [SDBatchLoader](https://github.com/receyuki/comfyui-prompt-reader-node) to load multiple images at the same time and connecting the output to the path field in my node
## 🎲📦 LoRA Cache Preloader This is a node to have the information for the loras preloaded into the `db.json`
You can select the folder that you want to run it.
This way you don't need to wait for the information to be gathered when running the other two nodes
--- ### 🔧 Node Inputs I'll describe only the inputs that aren't straight forwards here: - `refresh_loras`: To force a refresh of LoRAs everytime - `exclusive_mode`: - **On** – choose 1 LoRA only - **Off** – choose a random number from the list - `stride`: Number of runs before re-randomizing (not currently enforced) - `lora_count`: the number of LoRAs to be extracted from the list ( if 0 it will be a random value / `exclusive_mode` will overcome this is set to **On** ) - `lora_stack`: (Optional) Input for chaining or merging with existing LoRA stack - `extra_trigger_words`: (Optional) Additional text to append from previous node - `force_refresh_cache`: Set to True to clear and regenerate cached LoRA metadata --- ### 📤 Node Outputs - `LORA_STACK`: A list of `(name, min_strength, max_strength)` tuples - `Trigger Words`: Comma-separated string of trigger words for selected LoRAs - `Help Text`: Describes the meaning of each setting for reference --- ### 📤 Cache Behavior LoRA metadata (like trigger words) is cached to speed up repeat runs. Use `force_refresh_cache`: True to clear and reload cache. This helps avoid performance issues with large LoRA libraries. --- ## 📸 Screenshot / Demo ![preview](preview/image.png) --- ## 🔄 Other Nodes: ### PromptList w/ Template Based on the PromptList from Impact, but this one will be able to save, edit and delete templates ### SaveWorkflowAndShutdown A simple node to shutdown the PC at the end of the workflow if there are no more jobs in the queue.
There is a delay input, if you want to interrupt, cancel comfyui's process ### Split Batch With Prefix A node to to transform a batch of images into a list.
It will also ask for a prefix and an index, so it will generate a prompt list.
The purpose is to save each image from a batch with a corresponding index.
Example, you have a 5 images batch, you run the node and will output the images as a list and a prompt string of the index+Prefix ( example 0-SDXL_, 1-SDXL_, 2-SDXL_, 3-SDXL_, 4-SDXL_) ### Model Assembler A Model to combine the model checkpoint, unet loader, clip loader and vae loader.
Created so I don't have to change connections when testing full models and fp8 versions ### LoRA Metadata Hub Node used to add the metadata from the loras to the image metadata together with the [comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension) node.
You may need to add/edit the `modules/defs/ext/SantodanNodes.py` file to add the following code - [SantodanNodes.py](https://github.com/Santodan/comfyui_image_metadata_extension/blob/9fce1d69d72d3c75c1fc46c1b4f2ab50f2c46016/modules/defs/ext/SantodanNodes.py) - since the node OP hasn't updated the node for a couple of months, or just my whole node --- ### 📥 Installation #### Option 1: ComfyUI-Manager (recommended) 1. Open ComfyUI 2. Open ComfyUI-Manager 3. Search for `Santodan` or `Randomize LoRAs` 4. Click **Install** #### Option 2: Manual Install ```bash cd ComfyUI/custom_nodes git clone https://github.com/Santodan/santodan-custom-nodes-comfyui/ ``` Then restart ComfyUI. --- ### 🔁 Updating ```bash cd ComfyUI/custom_nodes/santodan-custom-nodes-comfyui git pull ``` Restart ComfyUI to apply the update. --- ### ❌ Uninstallation ```bash cd ComfyUI/custom_nodes rm -rf santodan-custom-nodes-comfyui ``` Restart ComfyUI. --- ## 🧠 Credits - **[Suzie1 / Comfyroll_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)** Provided the original randomization logic inspiration. - **[jitcoder / lora-info](https://github.com/jitcoder/lora-info)** Used for extracting trigger words from LoRA files. - **ChatGPT** Used to create the whole code as I only have some basic programming knowledge - **Claude.ai** Used to create the whole code as I only have some basic programming knowledge - **Gemini (Google AI)** Used to create the whole code as I only have some basic programming knowledge

Name	Type	Default	Description
image_path	STRING	./input/example.png	—
model	MODEL		—
clip	CLIP		—

Extract And Apply LoRAs

Inputs (3)

Outputs (3)