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update for torchvision

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Kohya S
2024-08-15 22:07:35 +09:00
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@@ -4,7 +4,10 @@ This repository contains training, generation and utility scripts for Stable Dif
This feature is experimental. The options and the training script may change in the future. Please let us know if you have any idea to improve the training. This feature is experimental. The options and the training script may change in the future. Please let us know if you have any idea to improve the training.
__Please update PyTorch to 2.4.0. We have tested with PyTorch 2.4.0 with CUDA 12.4. We also updated `accelerate` to 0.33.0 just to be safe. `requirements.txt` is also updated, so please update the requirements.__ __Please update PyTorch to 2.4.0. We have tested with `torch==2.4.0` and `torchvision==0.19.0` with CUDA 12.4. We also updated `accelerate` to 0.33.0 just to be safe. `requirements.txt` is also updated, so please update the requirements.__
The command to install PyTorch is as follows:
`pip3 install torch==2.4.0 torchvision==0.19.0 --index-url https://download.pytorch.org/whl/cu124`
Aug 14, 2024: Sample image generation during training is now supported. Specify options such as `--sample_prompts` and `--sample_every_n_epochs`. It will be very slow when `--split_mode` is specified. Aug 14, 2024: Sample image generation during training is now supported. Specify options such as `--sample_prompts` and `--sample_every_n_epochs`. It will be very slow when `--split_mode` is specified.