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README.md: Update recent updates and add DeepSpeed installation instructions

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2025-05-01 23:29:19 +09:00
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@@ -14,6 +14,10 @@ The command to install PyTorch is as follows:
### Recent Updates ### Recent Updates
May 1, 2025:
- The error when training FLUX.1 with mixed precision in flux_train.py with DeepSpeed enabled has been resolved. Thanks to sharlynxy for PR [#2060](https://github.com/kohya-ss/sd-scripts/pull/2060). Please refer to the PR for details.
- If you enable DeepSpeed, please install deepseed with `pip install deepspeed==0.16.7`.
Apr 27, 2025: Apr 27, 2025:
- FLUX.1 training now supports CFG scale in the sample generation during training. Please use `--g` option, to specify the CFG scale (note that `--l` is used as the embedded guidance scale.) PR [#2064](https://github.com/kohya-ss/sd-scripts/pull/2064). - FLUX.1 training now supports CFG scale in the sample generation during training. Please use `--g` option, to specify the CFG scale (note that `--l` is used as the embedded guidance scale.) PR [#2064](https://github.com/kohya-ss/sd-scripts/pull/2064).
- See [here](#sample-image-generation-during-training) for details. - See [here](#sample-image-generation-during-training) for details.
@@ -875,6 +879,14 @@ Note: Some user reports ``ValueError: fp16 mixed precision requires a GPU`` is o
(Single GPU with id `0` will be used.) (Single GPU with id `0` will be used.)
## DeepSpeed installation (experimental, Linux or WSL2 only)
To install DeepSpeed, run the following command in your activated virtual environment:
```bash
pip install deepspeed==0.16.7
```
## Upgrade ## Upgrade
When a new release comes out you can upgrade your repo with the following command: When a new release comes out you can upgrade your repo with the following command: