Fix readme issue
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@ -92,7 +92,8 @@ accelerate launch --num_cpu_threads_per_process 6 train_db_fixed.py `
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--mixed_precision="fp16" `
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--cache_latents `
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--gradient_checkpointing `
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--save_every_n_epochs=1
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--save_every_n_epochs=1
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```
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## Finetuning
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@ -235,7 +236,7 @@ options:
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* 11/27 (v11) update:
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- DiffUsers 0.9.0 is required. Update as `pip install -U diffusers[torch]==0.9.0` in the virtual environment.
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- The way captions are handled in DreamBooth has changed. When a caption file existed, the file's caption was added to the folder caption until v10, but from v11 it is only the file's caption. Please be careful.
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- Fixed a bug where prior_loss_weight was applied to learning images. We apologize for the inconvenience.
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- Compatible with Stable Diffusion v2.0. Add the --v2 option. If you are using 768-v-ema.ckpt or stable-diffusion-2 instead of stable-diffusion-v2-base, add --v_parameterization as well. Learn more about other options.
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- Fixed a bug where prior_loss_weight was applied to learning images. Sorry for the inconvenience.
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- Compatible with Stable Diffusion v2.0. Add the `--v2` option. If you are using `768-v-ema.ckpt` or `stable-diffusion-2` instead of `stable-diffusion-v2-base`, add `--v_parameterization` as well. Learn more about other options.
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- Added options related to the learning rate scheduler.
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- You can download and use DiffUsers models directly from Hugging Face. In addition, DiffUsers models can be saved during training.
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