Buckets:
| Windows Setup Guide | |
| =================== | |
| Environment Setup | |
| ----------------- | |
| 1. Install Cuda | |
| ^^^^^^^^^^^^^^^^ | |
| Download and install the latest CUDA Toolkit from the official `NVIDIA CUDA Downloads <download_cuda_>`_. | |
| After installation, verify the installation: | |
| .. code-block:: bat | |
| nvcc --version | |
| 2. Install Visual Studio C++ Build Tools | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| Download from the official `Visual Studio Build Tools page <visual_studio_>`_. | |
| During installation, select the following workloads: | |
| - **Desktop development with C++** | |
| - **C++ tools for Linux development** | |
| 3. Install Git | |
| ^^^^^^^^^^^^^^ | |
| Download Git from `this link <download_git_win_>`_ and follow the installation steps. | |
| 4. (Optional) Install Conda | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| Conda helps manage Python environments. You can install either Anaconda or Miniconda from the `official site <download_anaconda_>`_. | |
| 5. (Optional) Install ComfyUI | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| You may have various ways to install ComfyUI. | |
| For example, you can use ComfyUI CLI. | |
| Once Python is installed, you can install ComfyUI via the CLI: | |
| .. code-block:: bat | |
| pip install comfy-cli | |
| comfy install | |
| To launch ComfyUI: | |
| .. code-block:: bat | |
| comfy launch | |
| Installing Nunchaku on Windows | |
| ------------------------------- | |
| Step 1: Identify Your Python Environment | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| To ensure correct installation, you need to find the Python interpreter used by ComfyUI. | |
| Launch ComfyUI and look for this line in the log: | |
| .. code-block:: text | |
| ** Python executable: G:\ComfyuI\python\python.exe | |
| Then verify the Python version and installed PyTorch version: | |
| .. code-block:: bat | |
| "G:\ComfyuI\python\python.exe" --version | |
| "G:\ComfyuI\python\python.exe" -m pip show torch | |
| Step 2: Install PyTorch (≥2.5) if you haven't | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| Install PyTorch appropriate for your setup: | |
| - **For most users**: | |
| .. code-block:: bat | |
| "G:\ComfyuI\python\python.exe" -m pip install torch==2.6 torchvision==0.21 torchaudio==2.6 | |
| - **For RTX 50-series GPUs** (requires PyTorch ≥2.7 with CUDA 12.8): | |
| .. code-block:: bat | |
| "G:\ComfyuI\python\python.exe" -m pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 | |
| Step 3: Install Nunchaku | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| Option 1: Use ``install_wheel.json`` Workflow in ComfyUI | |
| """""""""""""""""""""""""""""""""""""""""""""""""""""""" | |
| With `ComfyUI-nunchaku <github_comfyui-nunchaku_>`_ v0.3.2+, | |
| you can install Nunchaku using the provided :ref:`comfyui_nunchaku:install-wheel-json` workflow directly in ComfyUI. | |
| .. image:: https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/ComfyUI-nunchaku/workflows/install_wheel.png | |
| Option 2: Manually Install Prebuilt Wheels | |
| """"""""""""""""""""""""""""""""""""""""""" | |
| You can install Nunchaku wheels from one of the following: | |
| - `GitHub Releases <github_nunchaku_releases_>`_ | |
| - `Hugging Face <hf_nunchaku_>`_ | |
| - `ModelScope <ms_nunchaku_>`_ | |
| Example (for Python 3.11 + PyTorch 2.7): | |
| .. code-block:: bat | |
| "G:\ComfyUI\python\python.exe" -m pip install https://github.com/nunchaku-tech/nunchaku/releases/download/v0.3.1/nunchaku-0.3.1+torch2.7-cp311-cp311-linux_x86_64.whl | |
| To verify the installation: | |
| .. code-block:: bat | |
| "G:\ComfyuI\python\python.exe" -c "import nunchaku" | |
| You can also run a test (requires a Hugging Face token for downloading the models): | |
| .. code-block:: bat | |
| "G:\ComfyuI\python\python.exe" -m huggingface-cli login | |
| "G:\ComfyuI\python\python.exe" -m nunchaku.test | |
| Option 3: Build Nunchaku from Source | |
| """""""""""""""""""""""""""""""""""" | |
| Please use CMD instead of PowerShell for building. | |
| Step 1: Install Build Tools | |
| .. code-block:: bat | |
| "G:\ComfyuI\python\python.exe" -m pip install ninja setuptools wheel build | |
| Step 2: Clone the Repository | |
| .. code-block:: bat | |
| git clone --recurse-submodules https://github.com/nunchaku-tech/nunchaku.git | |
| cd nunchaku | |
| Step 3: Set Up Visual Studio Environment | |
| Locate the ``VsDevCmd.bat`` script on your system. Example path: | |
| .. code-block:: text | |
| C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\Common7\Tools\VsDevCmd.bat | |
| Then run: | |
| .. code-block:: bat | |
| "C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\Common7\Tools\VsDevCmd.bat" -startdir=none -arch=x64 -host_arch=x64 | |
| set DISTUTILS_USE_SDK=1 | |
| Step 4: Build Nunchaku | |
| .. code-block:: bat | |
| "G:\ComfyuI\python\python.exe" setup.py develop | |
| Verify with: | |
| .. code-block:: bat | |
| "G:\ComfyuI\python\python.exe" -c "import nunchaku" | |
| You can also run a test (requires a Hugging Face token): | |
| .. code-block:: bat | |
| "G:\ComfyuI\python\python.exe" -m huggingface-cli login | |
| "G:\ComfyuI\python\python.exe" -m nunchaku.test | |
| (Optional) Step 5: Building wheel for Portable Python | |
| If building directly with portable Python fails: | |
| .. code-block:: bat | |
| set NUNCHAKU_INSTALL_MODE=ALL | |
| "G:\ComfyuI\python\python.exe" python -m build --wheel --no-isolation | |
| Use Nunchaku in ComfyUI | |
| ----------------------- | |
| 1. Install the Plugin | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| Clone the `ComfyUI-nunchaku <github_comfyui-nunchaku_>`_ plugin into the ``custom_nodes`` folder: | |
| .. code-block:: bat | |
| cd ComfyUI/custom_nodes | |
| git clone https://github.com/nunchaku-tech/ComfyUI-nunchaku.git | |
| Alternatively, install it using `ComfyUI-Manager <github_comfyui-manager_>`_ or `comfy-cli <github_comfy-cli_>`_. | |
| 2. Download Models | |
| ^^^^^^^^^^^^^^^^^^ | |
| **Standard FLUX.1-dev Models** | |
| Start by downloading the standard `FLUX.1-dev text encoders <https://huggingface.co/comfyanonymous/flux_text_encoders>`__ | |
| and `VAE <https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/ae.safetensors>`__. | |
| You can also optionally download the original `BF16 FLUX.1-dev <https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/flux1-dev.safetensors>`__ model. An example command: | |
| .. code-block:: bat | |
| huggingface-cli download comfyanonymous/flux_text_encoders clip_l.safetensors --local-dir models/text_encoders | |
| huggingface-cli download comfyanonymous/flux_text_encoders t5xxl_fp16.safetensors --local-dir models/text_encoders | |
| huggingface-cli download black-forest-labs/FLUX.1-schnell ae.safetensors --local-dir models/vae | |
| huggingface-cli download black-forest-labs/FLUX.1-dev flux1-dev.safetensors --local-dir models/diffusion_models | |
| **Nunchaku 4-bit FLUX.1-dev Models** | |
| Next, download the Nunchaku 4-bit models to ``models/diffusion_models``: | |
| - For **50-series GPUs**, use the `FP4 model <hf_nunchaku-flux1-dev-fp4_>`_. | |
| - For **other GPUs**, use the `INT4 model <hf_nunchaku-flux1-dev-int4_>`_. | |
| **(Optional): Download Sample LoRAs** | |
| You can test with some sample LoRAs like `FLUX.1-Turbo <hf_lora_flux-turbo_>`_ and `Ghibsky <hf_lora_ghibsky_>`_. Place these files in the ``models/loras`` directory: | |
| .. code-block:: bat | |
| huggingface-cli download alimama-creative/FLUX.1-Turbo-Alpha diffusion_pytorch_model.safetensors --local-dir models/loras | |
| huggingface-cli download aleksa-codes/flux-ghibsky-illustration lora.safetensors --local-dir models/loras | |
| 3. Set Up Workflows | |
| ^^^^^^^^^^^^^^^^^^^ | |
| To use the official workflows, download them from the `ComfyUI-nunchaku <github_comfyui-nunchaku_>`_ and place them in your ``ComfyUI/user/default/workflows`` directory. The command can be: | |
| .. code-block:: bat | |
| # From the root of your ComfyUI folder | |
| cp -r custom_nodes/ComfyUI-nunchaku/example_workflows user/default/workflows/nunchaku_examples | |
| You can now launch ComfyUI and try running the example workflows. | |
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