This repository hosts a collection of nodes developed for ComfyUI. It aims to share useful components that enhance the functionality of ComfyUI projects. Some nodes are forks or versions of nodes from other packs, some are bespoke, and some are experimental and are quite useless, so they have been marked with a Caution label in this document.
- Make a copy of
.env.exampleand remove the.examplefrom the name. - The new file should now be named
.envwithout a normal file name, just a .env extension. - The file should be in the root of the node pack, so the same directory that the .example was in.
- Edit
.envwith a text editor and edit the API key value inside.
A versatile text processor that replaces wildcards with content from wildcard files or inline lists.
Returns the file path in different formats to a file in your /input-folder.
Save text file, and return the saved file's path.
Download an image from the web.
Returns token information about input text and lets you split it.
Cleans up text strings, strip leading/trailing spaces or collapse them, remove newlines and much more.
Splits a string by the first occurrence of a delimiter.
Extracts the first occurrence of text between a pair of characters.
Converts date / time into literal outputs. Useful for saving paths and files.
Loads a folder of text and image pairs like a dataset, and gives you the image and string as separate outputs.
Extracts metadata from a single image selected from an input source.
Extracts metadata from a list of images or a folder of images.
Loads LoRA models using <lora:MyLoRA:1> in the prompt.
Load checkpoints with flexible fuzzy matching and repeat control for more varied outputs.
Creates resolutions and a latent from presets, user presets, or input images.
Load single images or iterate through image directories with mask support.
Loads an image, extracts metadata, provides the alpha channel as a mask, and outputs the image's dimensions.
Creates a colorful random shape-based image. Use it as a starting latent for fun and varying shapes. Great for abstract wallpaper creation.
Creates a visualizer from an input audio. Custom visualizer scripts can be created, and outputs can be saved as images or video.
✨💬 Groq LLM API
Query Groq large language model.
✨📷 Groq VLM API
Query Groq vision language model.
Query Groq Audio Model to transcribe audio.
Generate negative prompts automatically.
