ComfyUI-Creepy_nodes

A collection of switch nodes for ComfyUI

This set of nodes contains a set of easy switch nodes as well as other special nodes and utilities.

Installing

Open a command prompt from your custom_nodes folder and type:

git clone https://github.com/Creepybits/ComfyUI-Creepy_nodes.git

pip install -r requirements.txt

You can also install from ComfyUI Manager.

Restart ComfyUI

SWITCHES

• Multi Model Switch
• Multi VAE Switch
• Multi Clip Switch
• Multi Text Switch

These nodes works as you might expect them to. You can connect 3 different input nodes, and decide which to use by enter a number between 1-3 in the nodes.

• Dynamic Model Switch
• Dynamic Clip Switch
• Dynamic VAE switch
• Dynamic Conditioning switch
• Dynamic Latent Switch
• Dynamic Image Switch

These nodes works differently. The node will check input 1 and if there is a valid input in that slot it will forward it, if there is no input or an invalid input in the first input slot it will move on to the second one. If there's a valid input in the second slot it will use that one, else it will move to the third one. If no valid inputs are presented, the node will do nothing.

DELAY NODES

These nodes will delay the execution of the node following the delay node by x seconds.

SPECIAL NODES

• Sanitize Filename
• Evaluater Node
• People Evaluation Node

Sanitize Filename

The Sanitize Filename node will make sure that no invalid characters are forwarded to the save image node.

Evaluater Node

The Evaluater Node fetches and forwards a system prompt to Gemini 2.0 Flash Experimental node for evaluating and grading images.

It will give a short answer with just a number between 1-10 when using evaluate_img.txt

It will give a longer explanation to the reasoning behind the grading when using evaluate_img_long.txt

People Evaluation Node

The People Evaluation Node I made just for fun, and it will rate the attractiveness/sexiness of people in images. It currently has 4 settings:

• attractiveness_nice
• attractiveness_rude
• attractiveness_x
• attractiveness_xx

Attractiveness_nice

Attractiveness_rude

Attractiveness_x

Attractiveness_xx

ARGOS TRANSLATE NODE

This node is very much under development and is an attempt to incorporate the translate code for locally translating see: Argos
Index over available languages are here: Language index

But from my experience it's easier to install language packages through Argos GUI to be sure they install correctly.

NOTE THIS NODE HAS A LOT OF WORK AHEAD AND WILL BE UPDATED SPORADICALLY

SYSTEM PROMPT

This node will automatically load a predetermined system prompt to the Gemini 2.0 Experimental node and transform even short and inexact prompts to prompts that are suitable for Flux and Shuttle 3.1 together with the T5-XXL Clip. I created this node to make workflows a little bit less confusing, now there's no need to worry about the system prompt or wonder where to write the instructions to Gemini.

The current system prompt is written to work for both Text to image and image to image workflows. It's created to work with Gemini 2.0 Flash Experimental. It might work with other LLM's, but that's nothing I can guarantee. If you want to alter the actual system prompt, it is located in /custom_nodes/creepy_nodes/assets/prompts/system_prompt.txt

EXAMPLE

TESTS

I did some tests using 1 image and the same seed/setting, only changing the system prompt. The old system prompt I used was the following:

You are an AI assistant specializing in crafting professional and efective prompts for the Flux model, suitable for the t5-xxl clip. You are specialized in creating prompts for generating realistic looking images based off another image. When an image or text is provided, you should generate a concise and descriptive prompt that will create a realistic looking image based of the traits of the image or text that is provided. The prompt should be between 150-300 tokens. The output should only show the final prompt, without any additional comments or instructions.

And this is the Image to Image and Text to Image that are created with the system prompt node.

These nodes doesn't require any extra installations. You do however need to install Gemini 2.0 Flash Experimental and set up the API in order to use the system prompt node. Alternatively, you can try it with another LLM, but I have no idea how, or even if, that would work.