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update the req
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@ -271,7 +271,6 @@ pipe.vae.enable_tiling()
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increases by about 10%. Only the `diffusers` version of the model supports quantization.
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+ The model only supports English input; other languages can be translated into English during refinement by a large
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model.
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+
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## Friendly Links
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@ -1,5 +1,5 @@
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diffusers>=0.30.1 #git+https://github.com/huggingface/diffusers.git@main#egg=diffusers is suggested
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transformers>=4.44.0 # The development team is working on version 0.44.2
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transformers>=4.44.2 # The development team is working on version 4.44.2
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accelerate>=0.33.0 #git+https://github.com/huggingface/accelerate.git@main#egg=accelerate is suggested
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sentencepiece>=0.2.0 # T5 used
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SwissArmyTransformer>=0.4.12
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@ -7,7 +7,7 @@ numpy==1.26.0
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torch>=2.4.0 # Tested in 2.2 2.3 2.4 and 2.5, The development team is working on version 2.4.0.
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torchvision>=0.19.0 # The development team is working on version 0.19.0.
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gradio>=4.42.0 # For HF gradio demo
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streamlit>=1.37.1 # For streamlit web demo
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streamlit>=1.38.0 # For streamlit web demo
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imageio==2.34.2 # For diffusers inference export video
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imageio-ffmpeg==0.5.1 # For diffusers inference export video
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openai>=1.42.0 # For prompt refiner
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