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requirements.txt
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requirements.txt
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torch==2.0.1 # Ensure compatibility with CUDA
transformers==4.28.0 # For CLIP and Stable Diffusion models
diffusers==0.14.0 # For Stable Diffusion pipeline
Pillow==9.5.0 # For image handling and saving
numpy==1.23.5 # General numerical operations
accelerate==0.19.0 # Hugging Face’s model acceleration
scipy==1.10.1 # For mathematical operations
###############################
pip install -r requirements.txt
################################
# Core Libraries
torch==1.12.1
torchvision==0.13.1
transformers==4.19.2
diffusers==0.3.0
# Image Processing
Pillow==9.2.0
scikit-image==0.19.3
opencv-python==4.6.0.66
# Mathematical Operations & Data Manipulation
numpy==1.21.2
scipy==1.8.0
pandas==1.4.3
matplotlib==3.5.3
# Utilities
tqdm==4.64.0
colorama==0.4.5
rich==12.5.1
h5py==3.7.0
six==1.16.0
requests==2.28.1
regex==2022.6.2
# Machine Learning
tensorflow==2.9.1
keras==2.9.0
xgboost==1.6.1
lightgbm==3.3.2
catboost==1.0.6
fastai==2.7.7
# Optimization Libraries
optuna==2.10.0
hyperopt==0.2.7
# Image Generation and Diffusion Models
dalle-pytorch==1.6.5
openai-clip==1.0.1
# Visualization
seaborn==0.11.2
plotly==5.10.0
# Data Handling
datasets==2.3.2
pyyaml==6.0
jsonlines==3.0.0
csvkit==1.0.7
# Environment Management
virtualenv==20.14.1
conda==4.13.0
# Web Scraping & API
beautifulsoup4==4.11.1
lxml==4.9.1
requests-html==0.10.0
# File I/O
h5py==3.7.0
jsonpickle==2.1.0
# Security & Token Authentication
authlib==1.0.1
pyjwt==2.4.0
cryptography==37.0.4
# Async Libraries for API Communication
aiohttp==3.8.1
httpx==0.23.0
# Additional Dependencies for CUDA
cupy-cuda113==10.4.0
pycuda==2022.1.1
tensorflow-gpu==2.9.1
torchvision==0.13.1+cu113