Instructions to use maple-shaft/zero123plus-v1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maple-shaft/zero123plus-v1.2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maple-shaft/zero123plus-v1.2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 1,087 Bytes
31e32d0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
WORKDIR /opt/app
# System deps
RUN apt-get update && apt-get install -y \
git \
python3 \
python3-pip \
python3-dev \
build-essential \
&& rm -rf /var/lib/apt/lists/*
RUN ln -s /usr/bin/python3 /usr/bin/python
# Upgrade pip
RUN pip install --upgrade pip setuptools wheel
# ---- Torch FIRST (critical) ----
RUN pip install torch torchvision torchaudio \
--index-url https://download.pytorch.org/whl/cu121
# ---- Clone pinned Hunyuan3D ----
ARG HY3D_COMMIT=e2df0625bda7efd5f1daba8f3f2a4cb3d9ac85f8
RUN git clone https://github.com/tencent/Hunyuan3D-2.git && \
cd Hunyuan3D-2 && git checkout ${HY3D_COMMIT}
WORKDIR /opt/app/Hunyuan3D-2
# ---- Install root package ----
RUN pip install -e .
# ---- Build CUDA extensions ----
RUN pip install ./hy3dgen/texgen/custom_rasterizer/ops
RUN pip install ./hy3dgen/texgen/differentiable_renderer/ops
# ---- Copy HF handler last (better caching) ----
WORKDIR /opt/app
COPY handler.py .
ENV PYTHONPATH=/opt/app/Hunyuan3D-2
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