Instructions to use taohu/fastgen-offline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taohu/fastgen-offline with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("taohu/fastgen-offline", 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
| FROM nvcr.io/nvidia/pytorch:25.06-py3 | |
| # Defines the architecture (amd64 or arm64) automatically during build | |
| ARG TARGETARCH | |
| ENV PYTHONDONTWRITEBYTECODE=1 | |
| ENV PYTHONUNBUFFERED=1 | |
| ENV DEBIAN_FRONTEND=noninteractive | |
| # Set the timezone | |
| ENV TZ=America/Los_Angeles | |
| RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone | |
| # Install system dependencies | |
| RUN apt-get update --fix-missing && \ | |
| apt-get install -y --no-install-recommends \ | |
| build-essential \ | |
| ninja-build \ | |
| cmake \ | |
| wget \ | |
| ca-certificates \ | |
| git \ | |
| curl \ | |
| unzip \ | |
| python3-tk \ | |
| && rm -rf /var/lib/apt/lists/* \ | |
| && cmake --version \ | |
| && echo "✅ All system dependencies installed successfully" | |
| # Install s5cmd with architecture logic | |
| RUN S5CMD_VERSION="2.1.0-beta.1" && \ | |
| if [ "$TARGETARCH" = "arm64" ]; then \ | |
| S5CMD_ARCH="Linux-arm64"; \ | |
| else \ | |
| S5CMD_ARCH="Linux-64bit"; \ | |
| fi && \ | |
| wget "https://github.com/peak/s5cmd/releases/download/v${S5CMD_VERSION}/s5cmd_${S5CMD_VERSION}_${S5CMD_ARCH}.tar.gz" && \ | |
| tar -xf "s5cmd_${S5CMD_VERSION}_${S5CMD_ARCH}.tar.gz" && \ | |
| install s5cmd /usr/local/bin/ && \ | |
| rm s5cmd "s5cmd_${S5CMD_VERSION}_${S5CMD_ARCH}.tar.gz" | |
| # Set build optimization flags | |
| ENV MAX_JOBS=4 | |
| ENV TORCH_CUDA_ARCH_LIST="8.0;8.6;9.0;10.0" | |
| # Upgrade pip | |
| RUN pip install --upgrade pip setuptools wheel | |
| # numpy<2.0.0 is required for the preinstalled numba and thinc | |
| RUN pip install wandb[media] \ | |
| diffusers==0.35.1 \ | |
| transformers==4.49.0 \ | |
| accelerate \ | |
| safetensors \ | |
| scipy \ | |
| einops \ | |
| jupyter \ | |
| hydra-core \ | |
| imageio \ | |
| tqdm \ | |
| webdataset \ | |
| av \ | |
| loguru \ | |
| boto3 \ | |
| timm \ | |
| ftfy \ | |
| opencv-python-headless \ | |
| sentencepiece \ | |
| "numpy<2.0.0" | |
| RUN pip uninstall -y apex | |
| RUN pip install --index-url=https://sc-hw-artf.nvidia.com/artifactory/api/pypi/hwinf-mlwfo-pypi/simple --upgrade one-logger-utils | |
| WORKDIR /workspace | |
| # Entry point | |
| RUN (printf '#!/bin/bash\nexec \"$@\"\n' >> /entry.sh) && chmod a+x /entry.sh | |
| ENTRYPOINT ["/entry.sh"] | |