Hunyuan3D-1
1.1K
309
—
by
tencent
Image Model
OTHER
New
1K downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Code Examples
Installation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shInstallation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shInstallation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shInstallation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shInstallation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shInstallation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shInstallation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shInstallation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shInstallation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shInstallation Guide for Linuxtext
# step 1, create conda env
conda create -n hunyuan3d-1 python=3.9 or 3.10 or 3.11 or 3.12
conda activate hunyuan3d-1
# step 2. install torch realated package
which pip # check pip corresponds to python
# modify the cuda version according to your machine (recommended)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
# step 3. install other packages
bash env_install.shtext
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install xformers --index-url https://download.pytorch.org/whl/cu121text
pip install flash_attntext
pip install flash_attntext
pip install flash_attntext
pip install flash_attntext
pip install flash_attntext
pip install flash_attntext
pip install flash_attntext
pip install flash_attntext
pip install flash_attntext
pip install flash_attnpython3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118python3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118python3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118python3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118python3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118python3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118python3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118python3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118python3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118python3.9text
# python3.9
pip install torch==2.0.1 torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118bash
python3 -m pip install "huggingface_hub[cli]"bash
python3 -m pip install "huggingface_hub[cli]"bash
python3 -m pip install "huggingface_hub[cli]"bash
python3 -m pip install "huggingface_hub[cli]"bash
python3 -m pip install "huggingface_hub[cli]"bash
python3 -m pip install "huggingface_hub[cli]"bash
python3 -m pip install "huggingface_hub[cli]"bash
python3 -m pip install "huggingface_hub[cli]"bash
python3 -m pip install "huggingface_hub[cli]"bash
python3 -m pip install "huggingface_hub[cli]"bash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTbash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTbash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTbash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTbash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTbash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTbash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTbash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTbash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTbash
mkdir weights
huggingface-cli download tencent/Hunyuan3D-1 --local-dir ./weights
mkdir weights/hunyuanDiT
huggingface-cli download Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled --local-dir ./weights/hunyuanDiTDeploy This Model
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