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Update requirements.txt

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  1. requirements.txt +4 -30
requirements.txt CHANGED
@@ -1,32 +1,9 @@
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-
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- torch==2.6.0
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- torchvision==0.21.0
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- torchaudio==2.6.0
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- opencv-python==4.9.0.80
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- #diffusers==0.31.0
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- transformers==4.49.0
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- peft
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- xformers
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- tokenizers==0.21
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- accelerate==1.1.1
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- tqdm
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- imageio
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- easydict
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- ftfy
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- dashscope
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- imageio-ffmpeg
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- xfuser==0.4.1
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- pyloudnorm
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- soundfile
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- librosa
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- einops
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- numpy<2
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-
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  # Common
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  einops # Tensor operations
 
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  # Training
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- #torch==2.4.0 # Torch
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  omegaconf # Configuration system.
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  lpips # LPIPS model for VAE training
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@@ -40,7 +17,7 @@ sentencepiece # For Text Encoder
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  diffusers # Diffusers
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  rotary-embedding-torch # Rotary positional embedding
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  transformers # Transformers
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- #torchvision==0.19.0 # Torchvision
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  tiktoken # Tiktoken for generation
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  transformers_stream_generator #LLM generation support
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@@ -68,7 +45,4 @@ isort # Import sorting
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  pre-commit # Pre-commit hooks
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  expecttest # Pytorch dist tests
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  hypothesis # Fix randomness
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- av # Process audio and video
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- git+https://github.com/NVIDIA/apex.git
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- #https://huggingface.co/ByteDance-Seed/SeedVR2-3B/resolve/main/apex-0.1-cp310-cp310-linux_x86_64.whl
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- #https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Common
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  einops # Tensor operations
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+ flash-attn>=2.5.8 # CUDA accelerated attention
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  # Training
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+ torch==2.4.0 # Torch
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  omegaconf # Configuration system.
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  lpips # LPIPS model for VAE training
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  diffusers # Diffusers
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  rotary-embedding-torch # Rotary positional embedding
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  transformers # Transformers
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+ torchvision==0.19.0 # Torchvision
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  tiktoken # Tiktoken for generation
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  transformers_stream_generator #LLM generation support
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  pre-commit # Pre-commit hooks
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  expecttest # Pytorch dist tests
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  hypothesis # Fix randomness
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+ av # Process audio and video