Update README.md

README.md

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----
-license: other
-license_name: faipl-1.0-sd
-license_link: https://freedevproject.org/faipl-1.0-sd/
----
+---
+license: other
+license_name: faipl-1.0-sd
+license_link: https://freedevproject.org/faipl-1.0-sd/
+base_model:
+- RedRayz/hikari_noob_v-pred_0.5
+language:
+- en
+tags:
+- stable-diffusion
+- sdxl
+---
+# Hikari Noob v-pred 0.6
+
+Civitai model page: https://civitai.com/models/938672
+
+Fine-tuned NoobAI-XL(ν-prediction) and merged SPO LoRA
+
+NoobAI-XL(ν-prediction)をファインチューンし、SPOをマージしました。
+
+## Features/特徴
+- Improved stability and quality.
+- Works with samplers other than Euler.
+- Good results with only 10 steps (12 steps or more recommended)
+- Fixed a problem in which the quality of output was significantly degraded when the number of tokens exceeded 76.
+- The base style is not strong and can be restyled by prompts or LoRAs.
+- 安定性と品質を改善
+- わずか10ステップでよい結果を得られます(ただし12ステップ以上を推奨)
+- Zero Terminal SNRの代わりにNoise Offsetを使用することでEuler以外のサンプラーでも利用できるようにしました。
+- トークン数が76を超えると出力の品質が著しく低下する問題を修正しました。
+- 素の画風は強くないので、プロンプトやLoRAによる画風変更ができます。
+
+## Changelog
+- Better detail rendering and thinner outline
+- のっぺりしすぎだったのでディティールを増やしてアウトラインを細くしました。
+
+## Requirements / 動作要件
+- AUTOMATIC1111 WebUI on `dev` branch / devブランチ上のAUTOMATIC1111 WebUI
+- **Latest version** of ComfyUI / **最新版**のComfyUI
+- **Latest version** of Forge or reForge / **最新版**のForgeまたはreForge
+
+### Instruction for AUTOMATIC1111 / AUTOMATIC1111の導入手順
+1. Switch branch to `dev` (Run this command in the root directory of the webui: `git checkout -b dev origin/dev` or use Github Desktop)
+2. Use the model as usual!
+
+(日本語)
+1. `dev`ブランチに切り替えます(次のコマンドをwebui直下で実行します: `git checkout -b dev origin/dev` またはGithub Desktopを使う)
+2. 通常通りモデルを使用します。
+
+## Prompt Guidelines / プロンプト記法
+Almost same as the base model/ベースモデルとおおむね同じ
+
+To improve the quality of background, add `simple background, transparent background` to Negative Prompt.
+
+## Recommended Prompt / 推奨プロンプト
+Positive: None/無し(Works good without `masterpiece, best quality` / `masterpiece, best quality`無しでおｋ)
+
+Negative: `worst quality, low quality, bad quality, lowres, jpeg artifacts, unfinished, photoshop \(medium\), abstract` or empty(または無し)
+
+
+## Recommended Settings / 推奨設定
+Steps: 10-24
+
+Sampler: DPM++ 2M(dpmpp_2m)
+
+Scheduler: Simple
+
+Guidance Scale: 3.5-7
+
+### Hires.fix
+
+Hires upscaler: 4x-UltraSharp or Latent(nearest-exact)
+
+Denoising strength: 0.4-0.5(0.65-0.7 for latent)
+
+
+## Merge recipe(Weighted sum)
+- Stage 1: Finetune Hikari Noob v-pred 0.5 and merge(see below)
+*A,B: Hikari Noob v-pred 0.5 based custom checkpoint
+- v0.5(NoSPO) * 0.75 + A * 0.25 = tmp1
+- tmp0 * 0.75 + B * 0.25 = tmp2
+- tmp2 + SPO LoRA * 1 + sdxl-flat * -0.25 + sdxl-boldline * -1 = tmp3
+- Adjust tmp3(0.2,0.2,0.2,0.1,0,0,0,0) = Result
+
+## Training scripts:
+[sd-scripts](https://github.com/kohya-ss/sd-scripts)
+
+## Notice
+This model is licensed under [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)
+
+If you make modify this model, you must share both your changes and the original license.
+
+You are prohibited from monetizing any close-sourced fine-tuned / merged model, which disallows the public from accessing the model's source code / weights and its usages.