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Kohya S
2023-07-15 18:34:13 +09:00
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README.md
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@@ -24,6 +24,12 @@ The feature of SDXL training is now available in sdxl branch as an experimental
Summary of the feature: Summary of the feature:
- `tools/cache_latents.py` is added. This script can be used to cache the latents in advance.
- The options are almost the same as `sdxl_train.py'. See the help message for the usage.
- Please launch the script as follows:
`accelerate launch --num_cpu_threads_per_process 1 tools/cache_latents.py ...`
- This script should work with multi-GPU, but it is not tested in my environment.
- `sdxl_train.py` is a script for SDXL fine-tuning. The usage is almost the same as `fine_tune.py`, but it also supports DreamBooth dataset. - `sdxl_train.py` is a script for SDXL fine-tuning. The usage is almost the same as `fine_tune.py`, but it also supports DreamBooth dataset.
- `--full_bf16` option is added. Thanks to KohakuBlueleaf! - `--full_bf16` option is added. Thanks to KohakuBlueleaf!
- This option enables the full bfloat16 training (includes gradients). This option is useful to reduce the GPU memory usage. - This option enables the full bfloat16 training (includes gradients). This option is useful to reduce the GPU memory usage.