# SILHOUETTE Studio — Dependency Specifications
# For CUDA: install torch first from https://pytorch.org/get-started/locally/
# Example: pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121

# Core ML stack
torch>=2.1.0
torchvision>=0.16.0
diffusers==0.27.2
transformers==4.40.2
accelerate==0.29.3
peft==0.10.0
safetensors>=0.4.0

# Pose detection
controlnet_aux==0.0.7

# UI — gradio-client is pulled automatically as a dependency of gradio
gradio==4.42.0

# HuggingFace Hub — pinned to 0.23.4 which is the last version containing
# HfFolder (removed in 0.24.0). gradio 4.x oauth.py imports HfFolder at startup.
# gradio-client==1.3.0 only requires huggingface-hub>=0.19.3 so this satisfies it.
huggingface_hub==0.23.4

# Image processing
Pillow>=10.0.0
numpy>=1.24.0

# Misc pipeline deps
einops>=0.7.0
omegaconf>=2.3.0