From 91927efce706de1d048662d742840979280ca1e1 Mon Sep 17 00:00:00 2001 From: KLL535 Date: Wed, 22 Jan 2025 21:50:10 +0300 Subject: [PATCH] Update pyproject.toml --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 13d674f..e26d7c3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "simplebutcher" -description = "I needed to automate the process of generating images and could not find any straightforward ready-made solutions for this purpose. Hence, I developed my own solution. The primary idea is to replicate and expand Forge's functionality: specifically, the "Prompts from file or textbox script". This will allow you to easily combine pre-prepared lists of prompts, LoRA, styles, allowing you to combine texts as you wish. The resulting images prompt in metadata must be compatible with Forge, ideally appearing no different than those generated by it. However, I encountered a problem because Forge uses the internal name from the LoRA file metadata as the LoRA's name instead of the filename. Consequently, all existing solutions failed to comprehend my templates. I also wish for the ability to write LoRA in any order and quantity within a text file using this format: or . This should be automatically applied without the need to create separate nodes for each LoRA. Additionally, I would like it if the CivitAI platform could understand metadata. As the closest solution I found was the alexopus/ComfyUI-Image-Saver project. However, this alternative loses LORA written in Forge style by using the internal name instead of the filename." +description = "Node to automate batch generation with randomize prompts from text files. It mimics Forge's functionality, allowing you to combine text elements and LoRA. The node supports writing LoRA in any order within a text file using formats like or , without needing separate nodes. The node understands LoRA names in Forge's style, when the name is not the filename, but the internal name from the metadata." version = "1.0.0" license = {file = "LICENSE"} dependencies = ["piexif"]