Anima LoRA Trainer for ComfyUI

A ComfyUI custom node pack for training LoRA / LoKR / LoHA models on the Anima architecture using kohya-ss/sd-scripts. Train Anima LoRAs directly from ComfyUI with zero command-line knowledge required. Installation Download and extract the zip into your ComfyUI/custom_nodes/ folder, then restart ComfyUI. The nodes will appear under the "Anima Training" category. Features One-click model downloading from HuggingFace (always fetches the latest Anima base model) Two workflow modes: Wizard (questionnaire-driven auto-config) and Manual (full control over all parameters) Automatic sd-scripts installation and dependency management TOML config generation with inline annotations explaining every setting Smart VRAM presets (12GB, 16GB, 24GB) with automatic memory optimization Live config preview inside ComfyUI before launching training Cross-platform support (Windows, Linux, macOS) Zero pip dependencies — pure Python stdlib Included Nodes Model Downloader — Downloads Anima models from HuggingFace SD-Scripts Manager — Installs/updates kohya-ss/sd-scripts Model Selector — Finds and validates model files Training Wizard — Questionnaire-driven auto-configuration Basic/Advanced/Memory Params — Manual parameter control Training Launcher — Generates config and launches training Config Preview — Shows annotated TOML config inline Requirements ComfyUI (any recent version) Python 3.10+ kohya-ss/sd-scripts (auto-installed by the SD-Scripts Manager node) Anima base model files (auto-downloaded by the Model Downloader node) Dataset Preparation Your training images should follow the sd-scripts convention: place images in a folder named _ inside your train_data_dir , with matching .txt caption files for each image.