einops
roma
accelerate
smplx
iopath
# gradio
wheel
# chumpy==0.66

decord==0.6.0
diffusers
dna==0.0.1
gfpgan==1.3.8
gsplat==1.4.0
imageio==2.19.3
jaxtyping==0.2.38
kiui==0.2.14
kornia==0.7.2
loguru==0.7.3
lpips==0.1.4
matplotlib==3.5.3
megfile==4.1.0.post2
numpy==1.23.0
omegaconf==2.3.0
open3d==0.19.0
opencv_python
opencv_python_headless
Pillow==11.1.0
plyfile
pygltflib==1.16.2
pyrender==0.1.45
PyYAML==6.0.1
rembg==2.0.63
Requests==2.32.3
scipy
setuptools==74.0.0
taming_transformers_rom1504==0.0.6
timm==1.0.15

# Blackwell (sm_120) ZeroGPU: use stock torch 2.8.0 (default PyPI cu128 wheel supports sm_120)
# plus prebuilt CUDA-extension wheels from multimodalart/zerogpu-blackwell-wheels (tag pt28-cu128-cp310).
torch==2.8.0
torchvision==0.23.0
https://huggingface.co/datasets/multimodalart/zerogpu-blackwell-wheels/resolve/main/wheels/pt28-cu128-cp310/diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl
https://huggingface.co/datasets/multimodalart/zerogpu-blackwell-wheels/resolve/main/wheels/pt28-cu128-cp310/pytorch3d-0.7.9-cp310-cp310-linux_x86_64.whl

tqdm==4.66.4
transformers==4.41.2
trimesh==4.4.9
typeguard==2.13.3
xatlas==0.0.9
imageio-ffmpeg
rembg[cpu]

pydantic==2.8.2