update readme

README.md

@@ -97,6 +97,16 @@ note: Some user reports ``ValueError: fp16 mixed precision requires a GPU`` is o
 Other versions of PyTorch and xformers seem to have problems with training.
 If there is no other reason, please install the specified version.
 
+### Optional: Use Lion8bit
+
+For Lion8bit, you need to upgrade `bitsandbytes` to 0.38.0 or later. Uninstall `bitsandbytes`, and for Windows, install the Windows version whl file from [here](https://github.com/jllllll/bitsandbytes-windows-webui) or other sources, like:
+
+```powershell
+pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl
+```
+
+For upgrading, upgrade this repo with `pip install .`, and upgrade necessary packages manually.
+
 ## Upgrade
 
 When a new release comes out you can upgrade your repo with the following command:
@@ -128,6 +138,28 @@ The majority of scripts is licensed under ASL 2.0 (including codes from Diffuser
 
 ## Change History
 
+### 3 May 2023, 2023/05/03
+
+-  When saving v2 models in Diffusers format in training scripts and conversion scripts, it was found that the U-Net configuration is different from those of Hugging Face's stabilityai models (this repository is `"use_linear_projection": false`, stabilityai is `true`). Please note that the weight shapes are different, so please be careful when using the weight files directly. We apologize for the inconvenience.
+    - Since the U-Net model is created based on the configuration, it should not cause any problems in training or inference.
+    - Added `--unet_use_linear_projection` option to `convert_diffusers20_original_sd.py` script. If you specify this option, you can save a Diffusers format model with the same configuration as stabilityai's model from an SD format model (a single `*.safetensors` or `*.ckpt` file). Unfortunately, it is not possible to convert a Diffusers format model to the same format.
+
+- Lion8bit optimizer is supported. [PR #447](https://github.com/kohya-ss/sd-scripts/pull/447) Thanks to sdbds!
+  - Currently it is optional because you need to update `bitsandbytes` version. See "Optional: Use Lion8bit" in installation instructions to use it.
+- Multi-GPU training with DDP is supported in each training script. [PR #448](https://github.com/kohya-ss/sd-scripts/pull/448) Thanks to Isotr0py!
+- Multi resolution noise (pyramid noise) is supported in each training script. [PR #471](https://github.com/kohya-ss/sd-scripts/pull/471) Thanks to pamparamm!
+  - See PR and this page [Multi-Resolution Noise for Diffusion Model Training](https://wandb.ai/johnowhitaker/multires_noise/reports/Multi-Resolution-Noise-for-Diffusion-Model-Training--VmlldzozNjYyOTU2) for details.
+
+- 学習スクリプトや変換スクリプトでDiffusers形式でv2モデルを保存するとき、U-Netの設定がHugging Faceのstabilityaiのモデルと異なることがわかりました（当リポジトリでは `"use_linear_projection": false`、stabilityaiは`true`）。重みの形状が異なるため、直接重みファイルを利用する場合にはご注意ください。ご不便をお掛けし申し訳ありません。
+  - U-Netのモデルは設定に基づいて作成されるため、通常、学習や推論で問題になることはないと思われます。
+  - `convert_diffusers20_original_sd.py`スクリプトに`--unet_use_linear_projection`オプションを追加しました。これを指定するとSD形式のモデル（単一の`*.safetensors`または`*.ckpt`ファイル）から、stabilityaiのモデルと同じ形状の重みファイルを持つDiffusers形式モデルが保存できます。なお、Diffusers形式のモデルを同形式に変換することはできません。
+
+- Lion8bitオプティマイザがサポートされました。[PR #447](https://github.com/kohya-ss/sd-scripts/pull/447) sdbds氏に感謝します。
+  - `bitsandbytes`のバージョンを更新する必要があるため、現在はオプションです。使用するにはインストール手順の「[オプション：Lion8bitを使う](./README-ja.md#オプションlion8bitを使う)」を参照してください。
+- 各学習スクリプトでDDPによるマルチGPU学習がサポートされました。[PR #448](https://github.com/kohya-ss/sd-scripts/pull/448) Isotr0py氏に感謝します。
+- Multi resolution noise (pyramid noise) が各学習スクリプトでサポートされました。[PR #471](https://github.com/kohya-ss/sd-scripts/pull/471) pamparamm氏に感謝します。
+  - 詳細はPRおよびこちらのページ [Multi-Resolution Noise for Diffusion Model Training](https://wandb.ai/johnowhitaker/multires_noise/reports/Multi-Resolution-Noise-for-Diffusion-Model-Training--VmlldzozNjYyOTU2) を参照してください。
+
 ### 30 Apr. 2023, 2023/04/30
 
 - Added Chinese translation of [DreamBooth guide](./train_db_README-zh.md) and [LoRA guide](./train_network_README-zh.md). [PR #459](https://github.com/kohya-ss/sd-scripts/pull/459) Thanks to tomj2ee!