109 lines
5.3 KiB
Markdown
109 lines
5.3 KiB
Markdown
# ComfyUI-3D-Pack
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An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, Differentiable Rendering, SDS/VSD Optimization, etc.)
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### Note: this project is still a WIP and not been released into ComFyUI package database yet
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ps: I'll show some generated result soon
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---
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<br>
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**[IMPORTANT!!!]** <br> Currently this package is only been tested in following setups:
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- Windows 10/11
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- Miniconda/Conda Python 3.11.7
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- I tried install this package with ComfyUI embed python env first, but I can't find a way to build CUDA related libraries, e.g. diff-gaussian-rasterization, nvdiffrast, simple-knn.
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- Torch version: 2.1.2+cu121/V.2.1.2+cu118
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### Install:
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Assume you have already downloaded [ComfyUI](https://github.com/comfyanonymous/ComfyUI)
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First download [Miniconda](https://docs.conda.io/projects/miniconda/en/latest/) (*One of the best way to manage a clean and separated python envirments*)
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- Alternatively you can check this tutorial: [Installing ComfyUI with Miniconda On Windows and Mac](https://www.comflowy.com/preparation-for-study/install#step-two-download-comfyui)
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```bash
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# Go to your Your ComfyUI root directory, for my example:
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cd C:\Users\reall\Softwares\ComfyUI_windows_portable
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conda create -p ./python_miniconda_env/ComfyUI python=3.11
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# conda will tell what command to use to activate the env
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conda activate C:\Users\reall\Softwares\ComfyUI_windows_portable\python_miniconda_env\ComfyUI
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# This package also works with cu118
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pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
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pip install -r ./ComfyUI/requirements.txt
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# Then go to ComfyUI-3D-Pack directory under the .\ComfyUI\custom_nodes for my example is:
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cd C:\Users\reall\Softwares\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-3D-Pack
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# Finally you can double click following .bat script or run it in CLI:
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install.bat
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```
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Just in case `install.bat` may not working in your PC, you could also run the following commands under this package's root directory:
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```bash
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# First make sure the Conda env: python_miniconda_env\ComfyUI is activated, then go to Go to ComfyUI Root Directory\ComfyUI\custom_nodes\ComfyUI-3D-Pack and:
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pip install -r requirements.txt
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git clone --recursive https://github.com/ashawkey/diff-gaussian-rasterization
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pip install ./diff-gaussian-rasterization
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pip install ./simple-knn
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git clone --recursive https://github.com/NVlabs/nvdiffrast/`
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pip install ./nvdiffrast
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```
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### Run:
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Copy the files inside folder [__New_ComfyUI_Bats](./_New_ComfyUI_Bats/) to your ComfyUI root directory, and double click run_nvidia_gpu_miniconda.bat to start ComfyUI!
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- Alternatively you can just activate the Conda env: python_miniconda_env\ComfyUI, and go to your ComfyUI root directory then run command `python ./ComfyUI/main.py`
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---
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### Currently support:
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- For use case please check [example workflows](./_Example_Workflows/)
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- **Note:** you need to put [Example Inputs Files & Folders](_Example_Workflows/_Example_Inputs_Files/) under ComfyUI Root Directory\ComfyUI\input folder before you can run the example workflow
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- Stack Orbit Camera Poses node to automatically generate all range of camera pose combinations
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- You can use it to conditioning the [StableZero123 (You need to Download the checkpoint first)](https://comfyanonymous.github.io/ComfyUI_examples/3d/), with full range of camera poses in one prompt pass
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- You can use it to generate the orbit camera poses and directly input to other 3D process node (e.g. GaussianSplatting and BakeTextureToMesh)
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- Load 3D file (.obj, .ply, .glb)
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- 3D Gaussian Splatting, with:
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- [Improved Differential Gaussian Rasterization](https://github.com/ashawkey/diff-gaussian-rasterization)
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- Better Compactness-based Densification method from [Gsgen](https://gsgen3d.github.io/),
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- Support initialize gaussians from given 3D mesh (Optional)
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- Support mini-batch optimazation
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- Multi-View images as inputs
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- Export to .ply support
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- Bake Multi-View images into UVTexture of given 3D mesh using [Nvdiffrast](https://github.com/NVlabs/nvdiffrast), supports:
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- Export to .obj, .ply, .glb
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### To-Do Next:
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- Add interactive 3D UI inside ComfuUI to visulaize training and generated results for 3D representations
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- Add DMTet algorithm to allow convertion from points cloud(Gaussian/.ply) to mesh (.obj, .ply, .glb)
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- Add a general SDS/VSD Optimization algorithm to allow training 3D representations with diffusion model, *The real fun begins here* ;)
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- Add a few best Nerf algorithms (No idea yet, [instant-ngp](https://github.com/NVlabs/instant-ngp) maybe?)
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---
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## Tips
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* The world & camera coordinate system is the same as OpenGL:
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```
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World Camera
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+y up target
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|______+x |/______right
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/ /
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/ /
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/ /
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+z forward
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elevation: in (-90, 90), from +y to -y is (-90, 90)
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azimuth: in (-180, 180), from +z to +x is (0, 90)
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```
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* If you encounter OpenGL errors (e.g., `[F glutil.cpp:338] eglInitialize() failed`), then set `force_cuda_rasterize` to true on corresponding node |