Q8 kernels linux (untested)

[Zarrac]

cd ~/comfyui_install/comfyui_install/

mkdir -p installation_scripts

mkdir -p projects

Result: You now have:
~/comfyui_install/comfyui_install/installation_scripts/
~/comfyui_install/comfyui_install/projects/

cd ~/comfyui_install/comfyui_install/installation_scripts/

nano install_ltx_kernels.sh

`> #!/bin/bash

Script to install Lightricks LTXVideo-Q8-Kernels for ComfyUI

Exit immediately if a command exits with a non-zero status.
set -e

--- Configuration ---
COMFYUI_DIR is the main directory of your ComfyUI installation
COMFYUI_DIR="$HOME/comfyui_install/comfyui_install"

PROJECTS_DIR is where the source code of LTXVideo-Q8-Kernels will be cloned
PROJECTS_DIR="$COMFYUI_DIR/projects" # Source code for LTXVideo-Q8-Kernels goes here

VENV_PATH is the path to ComfyUI's virtual environment
VENV_PATH="$COMFYUI_DIR/.venv"

LTXVideo-Q8-Kernels specific details
REPO_URL="https://github.com/Lightricks/LTXVideo-Q8-Kernels.git"
REPO_NAME="LTXVideo-Q8-Kernels" # This is the directory name that 'git clone' will create

PyTorch and CUDA build configurations
CUDA_VERSION_PYTORCH_INDEX="cu128" # For PyTorch wheels for CUDA 12.8
TARGET_CUDA_ARCH="sm_90" # For Blackwell GPU (adjust if your GPU arch is different)
SYSTEM_CUDA_HOME="/usr/local/cuda-12.8" # VERIFY this path for your container's CUDA Toolkit

--- Main Script ---

echo "=== LTXVideo-Q8-Kernels Installation Script ==="
echo "Installing into ComfyUI environment: $VENV_PATH"
echo "Project source will be cloned to/updated in: $PROJECTS_DIR/$REPO_NAME"
echo "-----------------------------------------------------"

1. Activate the ComfyUI Virtual Environment
   echo "[Step 1/7] Activating ComfyUI virtual environment: $VENV_PATH"
   if [ -f "$VENV_PATH/bin/activate" ]; then
   source "$VENV_PATH/bin/activate"
   else
   echo "ERROR: Virtual environment not found at $VENV_PATH"
   echo "Please ensure ComfyUI and its .venv are set up correctly."
   exit 1
   fi
   echo " Current Python in venv: $(python --version)"
   echo " Current PyTorch in venv: $(python -c 'import torch; print(torch.version)' 2>/dev/null || echo 'Not installed, will attempt install.')"
   echo "-----------------------------------------------------"

2. Install PyTorch and build dependencies (idempotent - pip will skip if already satisfied)
   echo "[Step 2/7] Installing/Verifying PyTorch and build dependencies..."
   pip install torch torchvision torchaudio --index-url "https://download.pytorch.org/whl/$CUDA_VERSION_PYTORCH_INDEX"
   pip install packaging wheel ninja setuptools
   echo "-----------------------------------------------------"

3. Ensure the PROJECTS_DIR exists (it should if you followed the setup steps)
   echo "[Step 3/7] Ensuring projects directory exists: $PROJECTS_DIR"
   mkdir -p "$PROJECTS_DIR" # Creates it if it doesn't exist, does nothing if it does
   echo "-----------------------------------------------------"

4. Clone or update the LTXVideo-Q8-Kernels repository
   echo "[Step 4/7] Cloning/Updating $REPO_NAME repository..."
   if [ -d "$PROJECTS_DIR/$REPO_NAME" ]; then
   echo " Repository already exists at $PROJECTS_DIR/$REPO_NAME."
   echo " Attempting to pull latest changes..."
   cd "$PROJECTS_DIR/$REPO_NAME"
   git pull origin master # Or main, depending on the default branch of the repo
   else
   echo " Cloning $REPO_NAME repository into $PROJECTS_DIR/ ..."
   cd "$PROJECTS_DIR"
   git clone "$REPO_URL" "$REPO_NAME" # Explicitly name the target directory
   cd "$REPO_NAME"
   fi
   echo " Current directory: $(pwd)"
   echo "-----------------------------------------------------"

5. Initialize and update submodules
   echo "[Step 5/7] Initializing and updating submodules (if any)..."
   (Assumes current directory is $PROJECTS_DIR/$REPO_NAME)
   git submodule update --init --recursive
   echo "-----------------------------------------------------"

6. Set Environment Variables for CUDA Compilation
   echo "[Step 6/7] Setting environment variables for CUDA compilation (Target: $TARGET_CUDA_ARCH)..."
   export TORCH_CUDA_ARCH_LIST="$TARGET_CUDA_ARCH"
   export CUDA_HOME="$SYSTEM_CUDA_HOME"
   export CUDA_PATH="$SYSTEM_CUDA_HOME" # Some build systems might use CUDA_PATH
   unset CMAKE_ARGS # Clear any potentially conflicting CMake arguments

echo " CUDA_HOME is set to: $CUDA_HOME"
echo " TORCH_CUDA_ARCH_LIST is set to: $TORCH_CUDA_ARCH_LIST"
echo "-----------------------------------------------------"

7. Run the installation command
   echo "[Step 7/7] Building and installing $REPO_NAME (package name might be different, e.g., q8_kernels)..."
   (Assumes current directory is $PROJECTS_DIR/$REPO_NAME)
   python setup.py install
   echo "-----------------------------------------------------"

Deactivating is optional for a script like this if it runs in its own subshell.
If you want to be explicit and ensure the venv is deactivated after script completion:
echo "Deactivating virtual environment."
deactivate

echo "=== LTXVideo-Q8-Kernels Installation Script Finished ==="
echo "If no errors occurred, the package (likely named 'q8_kernels') should now be installed in your ComfyUI .venv."
echo "Verify with: 'pip show q8_kernels' (while .venv is active)."
echo "Remember to restart ComfyUI if it was running during this script execution."
`

chmod +x install_ltx_kernels.sh

cd ~/comfyui_install/comfyui_install/installation_scripts/

./install_ltx_kernels.sh

cd ~/comfyui_install/comfyui_install/

source YOUR VENV/bin/activate

pip list | grep -i q8_kernels

pip show q8_kernels