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標題：trellis2 windows          
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內容：<BR>
<pre style='margin:0px;'>
使用 2019 vs cmd 啟動 cmd line

set CUDA_HOME=C:\cuda\12.6
set PATH=C:\cuda\v12.6\bin;%PATH%
set DISTUTILS_USE_SDK=1
set TORCH_CUDA_ARCH_LIST=6.1
set HF_TOKEN=hf_....................
cd /d c:\
mkdir opt
cd \opt
git clone -b main https://github.com/microsoft/TRELLIS.2.git --recursive


git clone https://github.com/visualbruno/ComfyUI-Trellis2.git
conda create -p C:\conda\vm\trellis2 python=3.11


conda activate C:\conda\vm\trellis2



pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
pip install xformers --index-url https://download.pytorch.org/whl/cu118
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

先裝 torch
結果 xformers 會把 torch 降版
裝完後再把 torch 升回來

cd \opt\ComfyUI-Trellis2
python -m pip install -r requirements.txt

conda install ninja -c conda-forge
pip install gradio imageio
pip install easydict
pip install transformers
pip install utils3d
pip install kornia timm


確認目前 torch 版本
python
import torch
print(&quot;torch version:&quot;, torch.__version__)
print(&quot;cuda version:&quot;, torch.version.cuda)
print(&quot;is cuda available:&quot;, torch.cuda.is_available())
if torch.cuda.is_available():
    print(&quot;gpu:&quot;, torch.cuda.get_device_name(0))
EOF

得 torch version: 2.7.1+cu118

cd C:\opt\ComfyUI-Trellis2\wheels\Windows\Torch270
python.exe -m pip install cumesh-0.0.1-cp311-cp311-win_amd64.whl
python.exe -m pip install flex_gemm-0.0.1-cp311-cp311-win_amd64.whl
python.exe -m pip install nvdiffrast-0.4.0-cp311-cp311-win_amd64.whl
python.exe -m pip install nvdiffrec_render-0.0.0-cp311-cp311-win_amd64.whl
python.exe -m pip install o_voxel-0.0.1-cp311-cp311-win_amd64.whl

copy c:\cuda\11.8\cudart64_110.dll copy c:\cuda\11.8\cudart64_12.dll


cd C:\opt\TRELLIS.2

編輯 app.py 前面加入
import gradio as gr
import sys
import os
os.environ[&#039;OPENCV_IO_ENABLE_OPENEXR&#039;] = &#039;1&#039;
os.environ[&quot;PYTORCH_CUDA_ALLOC_CONF&quot;] = &quot;expandable_segments:True&quot;
os.environ[&quot;TRELLIS_ATTENTION_BACKEND&quot;] = &quot;torch&quot;
os.environ[&quot;TRELLIS_SPARSE_BACKEND&quot;] = &quot;torch&quot;
#os.environ[&quot;CUDA_VISIBLE_DEVICES&quot;] = &quot;&quot;
os.environ[&quot;ATTN_BACKEND&quot;] = &quot;naive&quot;
os.environ[&quot;SPARSE_ATTN_BACKEND&quot;] = &quot;xformers&quot;
os.environ[&quot;SPARSE_CONV_BACKEND&quot;] = &quot;flex_gemm&quot;
os.environ[&quot;TRELLIS_DTYPE&quot;] = &quot;float16&quot;
os.environ[&quot;TRELLIS_LOW_VRAM&quot;] = &quot;1&quot;


# 指定 Python loader 先找 CUDA 11.8
os.add_dll_directory(r&quot;C:\CUDA\11.8\bin&quot;)
os.add_dll_directory(r&quot;C:\CUDA\11.8\libnvvp&quot;)
os.add_dll_directory(r&quot;C:\conda\vm\trellis2&quot;)
os.add_dll_directory(r&quot;C:\conda\vm\trellis2\Lib\site-packages\torch\lib&quot;)
os.add_dll_directory(sys.prefix)  # Python 根目錄，例如 C:\conda\vm\trellis2


python app.py</pre></SPAN>        
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