Best Free 3D Model Generator AI in 2025 - Free & Open Source 3D AI Models are Here!
To start the program just go back into the folder where TRELLIS is installed, open command prompt in that directory and type: "python ./app.py"
Discover TRELLIS, Microsoft's cutting-edge AI tool that revolutionizes 3D asset creation. This free and open-source model transforms text or image prompts into high-quality 3D assets, including Radiance Fields, 3D Gaussians, and meshes. With TRELLIS, you can effortlessly generate versatile 3D models to suit diverse project needs.
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In this video, we delve into TRELLIS's features, demonstrate its capabilities, and guide you on how to leverage this powerful tool for your 3D modeling projects. Whether you're a developer, designer, or 3D enthusiast, TRELLIS offers an accessible solution for creating intricate 3D assets with ease.
Stay ahead in the world of 3D modeling by exploring TRELLIS, the best free 3D model generator AI of 2025. Join us as we explore its functionalities and showcase how it can elevate your creative projects.
Links:
https://trellis3d.github.io/
https://github.com/Microsoft/TRELLIS
https://www.mixamo.com/
https://github.com/microsoft/TRELLIS/issues/8#issuecomment-2523991624
Installation Command:
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git clone --recurse-submodules https://github.com/microsoft/TRELLIS.git
cd TRELLIS
conda create -n trellis python=3.10
conda activate trellis
pip install torch==2.5.1 torchvision --index-url=https://download.pytorch.org/whl/cu124
pip install xformers==0.0.28.post3 --index-url=https://download.pytorch.org/whl/cu124
pip install pillow imageio imageio-ffmpeg tqdm easydict opencv-python-headless scipy ninja rembg onnxruntime trimesh xatlas pyvista pymeshfix igraph transformers
pip install git+https://github.com/EasternJournalist/utils3d.git@9a4eb15e4021b67b12c460c7057d642626897ec8
pip install https://github.com/bdashore3/flash-attention/releases/download/v2.7.1.post1/flash_attn-2.7.1.post1+cu124torch2.5.1cxx11abiFALSE-cp310-cp310-win_amd64.whl
pip install kaolin -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124.html
git clone https://github.com/NVlabs/nvdiffrast.git ./tmp/extensions/nvdiffrast
pip install ./tmp/extensions/nvdiffrast
git clone --recurse-submodules https://github.com/JeffreyXiang/diffoctreerast.git ./tmp/extensions/diffoctreerast
pip install ./tmp/extensions/diffoctreerast
git clone https://github.com/autonomousvision/mip-splatting.git ./tmp/extensions/mip-splatting
pip install ./tmp/extensions/mip-splatting/submodules/diff-gaussian-rasterization/
xcopy /E /H .\extensions\vox2seq\ .\tmp\extensions\vox2seq\
pip install ./tmp/extensions/vox2seq
pip install spconv-cu120
pip install gradio==4.44.1 gradio_litmodel3d==0.0.1
set ATTN_BACKEND=flash-attn
set SPCONV_ALGO=native
python ./app.py
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