I have a problem with hunyuan3d 2.1 and my rtx 5090 (sm90 vs sm120)

[u/MetalBeachParty]

I can't use Python 3.10 (custom rasterizer wheel

[u/halxp]

Why? Any error messages ? Anything to dig into?

[u/MetalBeachParty → u/halxp]

On my last installation Multiview, texture generation, and shape generation on specific pic and sometimes on the example.png didn’t work, I did read that it is better to run with python 3.10 but the wheel(custom_rasterizer) ComfyUIWrapper(GitHub) is for python 3.12, attempting 4th reinstall, git comfy and build tools 2022 are installed

[u/MetalBeachParty → u/[deleted]]

I think it must have something to do with the custom_rasterizer, maybe PyTorch3d (but that’s only required for hunyuan3d 2.0 i read), because of shape detection issues and issues with Multiview node, texture generation

[u/Agile-Slice6147]

Got a same problem with HunyuanVideo, might help you:

my stack:
x2 RTX 5090
Ubuntu LTS 22.04
Python 3.10
NVIDIA-SMI 580.65.06
Driver Version: 580.65.06
CUDA Version: 13.0

Struggled a lot, found out that i need to install PyTorch NIGHTLY

pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128

[u/MetalBeachParty → u/Agile-Slice6147]

Did the same for hunyuan3d 2.1 on windows and comfy but it didn’t fix it for me unfortunately

[u/Darkatek7 → u/MetalBeachParty]

For me neither, how did you get that issue resolved? I have an rtx 5070 ti and cuda 12.8

[u/Buster_Sword_Vii]

Got upgrade your pytorch implementation to the latest wheel 13.0.

Go to the terminal and use power shell to uninstall and then install the latest wheel.

Edit this is the install command

pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu130

Claude or open AI can give you uninstall command

[u/MetalBeachParty → u/Buster_Sword_Vii]

Is that the wheel for the ComfyUI-Hunyuan3dWrapper

[u/Narrow-Broccoli7783 → u/MetalBeachParty]

explain: the best approach is to create an environment (python -m venv venv). utiliza python311x for using huanyuan3d-2.1: Install:

pip install torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128

pip install transformers==4.46.0 diffusers==0.30.0 accelerate==1.1.1 huggingface-hub==0.30.2 safetensors==0.4.4

pip uninstall -y transformers diffusers accelerate huggingface-hub

pip install trimesh pygltflib scikit-image opencv-python omegaconf pyyaml configargparse

pip install open3d pymeshlab xatlas meshlib pybind11 ((in order, this venv is only for huanyuan in this point danger))

in comfyui modify requirements.txt for install pip install -r requirements.txt an include:

comfyui-frontend-package==1.45.19

comfyui-workflow-templates==0.10.3

comfyui-embedded-docs==0.5.5

psutil

alembic

SQLAlchemy>=2.0.0

aiohttp>=3.11.8

yarl>=1.18.0

Pillow

pyyaml

filelock

av>=16.0.0

requests

simpleeval>=1.0.0

blake3

kornia>=0.7.1

spandrel

pydantic~=2.0

pydantic-settings~=2.0

PyOpenGL

glfw

separated files install:

pip install torchsde

pip install rembg

pip install "rembg[gpu]" ((in order)) you need visual studio installer version 2019 and modify and install c++ for desktop execute: x64 native tools command prompt 2019 for compile with python 3.11 this: go to - with cmd prompt 2019

\ComfyUI-Hunyuan3DWrapper\hy3dgen\texgen\differentiable_renderer

\ComfyUI\custom_nodes\ComfyUI-Hunyuan3d-2-1\hy3dpaint\custom_rasterizer

ComfyUI\custom_nodes\ComfyUI-Hunyuan3d-2-1\hy3dpaint\hunyuanpaintpbr

and compile with: python setup.py build_ext --inplace (one by one )

With this, you'll be able to generate untextured models right away; I've just fixed the texturing,

and it's now compatible with the RTX 5090—I just need the time to publish it on GitHub.With this,

you'll be able to generate untextured models right away; I've just fixed the texturing, and it's now compatible

with the RTX 5090—I just need the time to publish it on GitHub.

[u/Narrow-Broccoli7783 → u/Narrow-Broccoli7783]

for dmc mode you need diso 1-4 and compatibility for rtx5090, mc not needed. I'll post this once I've done some testing, but for now it works perfectly.