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v1.0.1 — Intel Arc Build Fixes
Fixes from real-world testing on Intel Arc B580 (12GB VRAM) running on Unraid 7.1.4.
Fixes
- Dockerfile.gpu-intel: Removed redundant
intel-opencl-icd intel-level-zero-gpu level-zeroapt packages (already present inintel/oneapi-runtimebase image, caused unmet dependency errors) - Dockerfile.gpu-intel: Added
pip install --upgrade pip setuptools wheelbefore torch install for Python 3.12 compatibility - requirements.txt: Bumped numpy from
==1.24.0to>=1.26.0(fixespkgutil.ImpImporterremoval in Python 3.12) - inference.py: Fixed GPU acceleration display to use
is_gpu(device)instead oftorch.cuda.is_available()(was showing "No" on Intel XPU)
Verified Working
- ✅ Docker image builds successfully
- ✅ SNAC model loads on
xpu:0 - ✅ TTS generation produces valid 24kHz WAV audio
- ✅
device.pydetects Intel XPU correctly - ✅ llama.cpp SYCL inference: ~20 tok/s
Docker Images
docker pull ghcr.io/betanu701/orpheus-fastapi:1.0.1-gpu-intel # Intel Arc
docker pull ghcr.io/betanu701/orpheus-fastapi:1.0.1-gpu-cuda # NVIDIA
docker pull ghcr.io/betanu701/orpheus-fastapi:1.0.1-gpu-rocm # AMD
docker pull ghcr.io/betanu701/orpheus-fastapi:1.0.1-cpu # CPU only