From 3cb9025b4bed96cd1e42885cd685f6e49d176665 Mon Sep 17 00:00:00 2001
From: Kohya S <52813779+kohya-ss@users.noreply.github.com>
Date: Sun, 29 Mar 2026 22:07:52 +0900
Subject: [PATCH] doc: update change history in README files to include LECO
 training support for SD/SDXL

---
 README-ja.md | 2 ++
 README.md    | 2 ++
 2 files changed, 4 insertions(+)

diff --git a/README-ja.md b/README-ja.md
index e04934aa..f4f912a2 100644
--- a/README-ja.md
+++ b/README-ja.md
@@ -51,6 +51,8 @@ Stable Diffusion等の画像生成モデルの学習、モデルによる画像
 ### 更新履歴
 
 - **Version 0.10.2 (2026-03-30):**
+    - SD/SDXLのLECO学習に対応しました。[PR #2285](https://github.com/kohya-ss/sd-scripts/pull/2285) および [PR #2294](https://github.com/kohya-ss/sd-scripts/pull/2294) umisetokikaze氏に深く感謝します。
+        - 詳細は[ドキュメント](./docs/train_leco.md)をご覧ください。
     - `networks/resize_lora.py`が`torch.svd_lowrank`に対応し、大幅に高速化されました。[PR #2240](https://github.com/kohya-ss/sd-scripts/pull/2240) および [PR #2296](https://github.com/kohya-ss/sd-scripts/pull/2296) woct0rdho氏に深く感謝します。
         - デフォルトは有効になっています。`--svd_lowrank_niter`オプションで反復回数を指定できます（デフォルトは2、多いほど精度が向上します）。0にすると従来の方法になります。詳細は `--help` でご確認ください。
     - LoKr/LoHaをSDXL/Animaでサポートしました。[PR #2275](https://github.com/kohya-ss/sd-scripts/pull/2275)
diff --git a/README.md b/README.md
index 6e889a82..fc041db3 100644
--- a/README.md
+++ b/README.md
@@ -48,6 +48,8 @@ If you find this project helpful, please consider supporting its development via
 ### Change History
 
 - **Version 0.10.2 (2026-03-30):**
+    - LECO training for SD/SDXL is now supported. Many thanks to umisetokikaze for [PR #2285](https://github.com/kohya-ss/sd-scripts/pull/2285) and [PR #2294](https://github.com/kohya-ss/sd-scripts/pull/2294).
+        - Please refer to the [documentation](./docs/train_leco.md) for details.
     - `networks/resize_lora.py` has been updated to use `torch.svd_lowrank`, resulting in a significant speedup. Many thanks to woct0rdho for [PR #2240](https://github.com/kohya-ss/sd-scripts/pull/2240) and [PR #2296](https://github.com/kohya-ss/sd-scripts/pull/2296).
         - It is enabled by default. You can specify the number of iterations with the `--svd_lowrank_niter` option (default is 2, more iterations will improve accuracy). Setting it to 0 will revert to the previous method. Please check `--help` for details.
     - LoKr/LoHa is now supported for SDXL/Anima. See [PR #2275](https://github.com/kohya-ss/sd-scripts/pull/2275) for details.