Step-by-Step Tutorial: Diffusion-Pipe WSL Linux Install & Hunyuan LoRA Training on Windows.
Commands list:
#1
wsl --list --verbose#2
wsl --set-default-version 2#3
wsl --list --online#4
wsl --install -d Ubuntu-22.04#5
sudo apt update && sudo apt upgrade -y#6
sudo apt install -y build-essential curl wget git unzip git-lfs#7
mkdir -p ~/miniconda3
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
rm ~/miniconda3/miniconda.sh
#8
source ~/miniconda3/bin/activate#9
conda init --all#10
conda create -n diffusion-pipe python=3.12#11
conda activate diffusion-pipe#12
pip install torch==2.4.1 torchvision==0.19.1 torchaudio --extra-index-url https://download.pytorch.org/whl/cu124#13
conda install nvidia::cuda-nvcc#14
git clone --recurse-submodules https://github.com/tdrussell/diffusion-pipe#15
cd diffusion-pipe#16
pip install -r requirements.txt#17
wget -P models/hunyuan https://huggingface.co/Kijai/HunyuanVideo_comfy/resolve/main/hunyuan_video_720_cfgdistill_fp8_e4m3fn.safetensors#18
wget -P models/hunyuan https://huggingface.co/Kijai/HunyuanVideo_comfy/resolve/main/hunyuan_video_vae_bf16.safetensors#19
mkdir -p models/clip && git clone https://huggingface.co/openai/clip-vit-large-patch14 models/clip/clip-vit-large-patch14#20
mkdir -p models/llm && git clone https://huggingface.co/Kijai/llava-llama-3-8b-text-encoder-tokenizer models/llm/llava-llama-3-8b-text-encoder-tokenizer#21
NCCL_P2P_DISABLE="1" NCCL_IB_DISABLE="1" deepspeed --num_gpus=1 train.py --deepspeed --config examples/hunyuan_video.toml#22 : Resume Training.
"NCCL_P2P_DISABLE="1" NCCL_IB_DISABLE="1" deepspeed --num_gpus=1 train.py --deepspeed --config examples/hunyuan_video.toml --resume_from_checkpoint"
If you like my content consider to Support me on Patreon.
TRY: "Social Fashion" Lora
TRY: Flow for ComfyUI
How to install Flow: