Update README.md
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README.md
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@@ -20,8 +20,6 @@ Fine-tuned NoobAI-XL(v-prediction) and merged SPO LoRA
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NoobAI-XL(v-prediction)をファインチューンし、SPOをマージしました。
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日本語での導入手順はページ下部にあります。
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## Features/特徴
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- Improved stability and quality.
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- Works with samplers other than Euler.
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@@ -39,17 +37,13 @@ NoobAI-XL(v-prediction)をファインチューンし、SPOをマージしまし
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- Latest version of ComfyUI / 最新版のComfyUI
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- ReForge on `dev_upstream_experimental` branch / `dev_upstream_experimental`ブランチ上のreForge
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### Instruction for AUTOMATIC1111
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3. Load the model
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2.
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3. Find “Advanced Model Sampling for Forge” at the bottom of the page
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4. Enable “Enable Advanced Model Sampling”
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5. Select `v_prediction` in Discrete Sampling Type
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### Example Workflow for ComfyUI / ComfyUIサンプルワークフロー
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Download it from [here](https://files.catbox.moe/83e2wl.json)
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@@ -108,15 +102,3 @@ This model is licensed under [Fair AI Public License 1.0-SD](https://freedevproj
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If you make modify this model, you must share both your changes and the original license.
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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.
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### AUTOMATIC1111の導入手順
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1. モデルをダウンロードする。
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2. devブランチに切り替える(ブランチの切り替えかたは各自調べてください)。
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3. モデルを読み込む。
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### ReForgeの導入手順
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1. `dev_upstream_experimental`ブランチに切り替える
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2. モデルをダウンロードする。
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3. WebUIのページ下部から“Advanced Model Sampling for Forge”を見つける
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4. “Enable Advanced Model Sampling”を有効にする
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5. Discrete Sampling Typeを`v_prediction`にする
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NoobAI-XL(v-prediction)をファインチューンし、SPOをマージしました。
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## Features/特徴
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- Improved stability and quality.
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- Works with samplers other than Euler.
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- Latest version of ComfyUI / 最新版のComfyUI
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- ReForge on `dev_upstream_experimental` branch / `dev_upstream_experimental`ブランチ上のreForge
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### Instruction for AUTOMATIC1111 / AUTOMATIC1111の導入手順
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1. Switch branch to `dev`
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2. Use the model as usual!
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(日本語)
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1. `dev`ブランチに切り替えます(Github Desktopを使うと簡単)
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2. 通常通りモデルを使用します。
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### Example Workflow for ComfyUI / ComfyUIサンプルワークフロー
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Download it from [here](https://files.catbox.moe/83e2wl.json)
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If you make modify this model, you must share both your changes and the original license.
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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.
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