a5adfe060e
- Dockerfile with CUDA 12.8.1, Python 3.12, PyTorch 2.8.0+cu128 - SageAttention 2.2 compiled from source - Nunchaku wheel installation - 12 custom nodes pre-installed - Handler with image/video output support - Model symlinks to /userdata network volume 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
39 lines
523 B
Plaintext
39 lines
523 B
Plaintext
# Core ML dependencies
|
|
transformers==4.56.2
|
|
diffusers==0.35.2
|
|
accelerate==1.11.0
|
|
safetensors==0.6.2
|
|
|
|
# ONNX runtime
|
|
onnxruntime-gpu==1.23.2
|
|
|
|
# Image/Video processing
|
|
opencv-python==4.12.0.88
|
|
mediapipe==0.10.14
|
|
insightface==0.7.3
|
|
imageio-ffmpeg==0.6.0
|
|
av==16.0.1
|
|
|
|
# ML utilities
|
|
spandrel==0.4.1
|
|
kornia==0.8.2
|
|
einops==0.8.1
|
|
timm==1.0.22
|
|
peft==0.17.1
|
|
gguf==0.17.1
|
|
|
|
# HuggingFace transfer acceleration
|
|
hf-transfer
|
|
|
|
# RunPod SDK
|
|
runpod
|
|
|
|
# Additional common dependencies
|
|
numpy
|
|
scipy
|
|
pillow
|
|
tqdm
|
|
requests
|
|
aiohttp
|
|
websocket-client
|