Update release #

.release

@@ -1 +1 @@
-v22.0.1
+v22.1.0

README.md

@@ -629,7 +629,7 @@ ControlNet-LLLite, a novel method for ControlNet with SDXL, is added. See [docum
 
 * 2023/10/10 (v22.1.0)
   - Remove support for torch 1 to align with kohya_ss sd-scripts code base.
-  - Add Intel ARC GPU support with IPEX support on Linuix / WSL
+  - Add Intel ARC GPU support with IPEX support on Linux / WSL
     - Users needs to set these manually:
       * Mixed precision to BF16,
       * Attention to SDPA,
@@ -652,27 +652,3 @@ ControlNet-LLLite, a novel method for ControlNet with SDXL, is added. See [docum
       - OFT only supports SDXL currently. Because current OFT tweaks Q/K/V and O in the transformer, and SD1/2 have extremely fewer transformers than SDXL.
       - The implementation is heavily based on laksjdjf's [OFT implementation](https://github.com/laksjdjf/sd-trainer/blob/dev/networks/lora_modules.py). Thanks to laksjdjf!
     - Other bug fixes and improvements.
-
-* 2023/10/01 (v22.0.0)
-  - Merging main branch of sd-scripts:
-    - [SAI Model Spec](https://github.com/Stability-AI/ModelSpec) metadata is now supported partially. `hash_sha256` is not supported yet.
-      - The main items are set automatically.
-      - You can set title, author, description, license and tags with `--metadata_xxx` options in each training script.
-      - Merging scripts also support minimum SAI Model Spec metadata. See the help message for the usage.
-      - Metadata editor will be available soon.
-
-    - `--v_pred_like_loss ratio` option is added. This option adds the loss like v-prediction loss in SDXL training. `0.1` means that the loss is added 10% of the v-prediction loss. The default value is None (disabled).
-      - In v-prediction, the loss is higher in the early timesteps (near the noise). This option can be used to increase the loss in the early timesteps.
-
-    - Arbitrary options can be used for Diffusers' schedulers. For example `--lr_scheduler_args "lr_end=1e-8"`.
-
-    - LoRA-FA is added experimentally. Specify `--network_module networks.lora_fa` option instead of `--network_module networks.lora`. The trained model can be used as a normal LoRA model.
-    - JPEG XL is supported. [#786](https://github.com/kohya-ss/sd-scripts/pull/786)
-    - Input perturbation noise is added. See [#798](https://github.com/kohya-ss/sd-scripts/pull/798) for details.
-    - Dataset subset now has `caption_prefix` and `caption_suffix` options. The strings are added to the beginning and the end of the captions before shuffling. You can specify the options in `.toml`.
-    - Intel ARC support with IPEX is added. [#825](https://github.com/kohya-ss/sd-scripts/pull/825)
-    - Other bug fixes and improvements.
-  - New SDXL presets
-  - Update wandb module version
-  - Add support for Chinese zh-CN localisation. You can use it with `.\gui.bat --language=zh-CN`
-  - Add presets support to `Finetuning`. You can add your own finetuning user presets under the `/presets/finetune/user_presets` folder.