ComfyUI-FluxTrainer

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- - publish.yml
- FUNDING.yml
- flux_lora_train_example01.json
- sdxl_train_example_01.json
- - __init__.py
  - attention.py
  - diffusers.py
  - gradscaler.py
  - hijacks.py
- __init__.py
- adafactor_fused.py
- attention_processors.py
- config_util.py
- custom_offloading_utils.py
- custom_train_functions.py
- deepspeed_utils.py
- device_utils.py
- flux_models.py
- flux_train_utils.py
- flux_utils.py
- huggingface_util.py
- model_util.py
- original_unet.py
- sai_model_spec.py
- sd3_models.py
- sd3_train_utils.py
- sd3_utils.py
- sdxl_lpw_stable_diffusion.py
- sdxl_model_util.py
- sdxl_original_control_net.py
- sdxl_original_unet.py
- sdxl_train_util.py
- slicing_vae.py
- strategy_base.py
- strategy_flux.py
- strategy_sd.py
- strategy_sd3.py
- strategy_sdxl.py
- train_util.py
- utils.py
- - __init__.py
  - boft.py
  - diag_oft.py
  - general.py
  - locon.py
  - loha.py
  - lokr.py
- - __init__.py
  - base.py
  - boft.py
  - diag_oft.py
  - dylora.py
  - full.py
  - glora.py
  - ia3.py
  - locon.py
  - loha.py
  - lokr.py
  - norms.py
- - __init__.py
  - general.py
  - logger.py
  - preset.py
  - quant.py
  - xformers_utils.py
- __init__.py
- config.py
- kohya.py
- LICENSE.md
- logging.py
- wrapper.py
- check_lora_weights.py
- lora.py
- lora_flux.py
- lora_sd3.py
- merge_lora.py
- resize_lora.py
.gitattributes
.gitignore
__init__.py
fine_tune.py
flux_extract_lora.py
flux_train_comfy.py
flux_train_network_comfy.py
hf_token.json
LICENSE.md
nodes.py
nodes_sd3.py
nodes_sdxl.py
pyproject.toml
README.md
requirements.txt
sd3_train_network.py
sdxl_train_network.py
train_db.py
train_network.py

# Installation Guide

1. Get the code

git clone https://github.com/kijai/ComfyUI-FluxTrainer

Downloads the entire project code from GitHub to your computer.

cd ComfyUI-FluxTrainer

Moves into the project folder you just downloaded.

2. Python

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

pip install -r requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요

Runs the Python script (or module).

✅ If it runs without errors and prints output in the terminal, it worked.