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--- |
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license: other |
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license_name: faipl-1.0-sd |
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license_link: https://freedevproject.org/faipl-1.0-sd/ |
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language: |
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- en |
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tags: |
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- stable-diffusion |
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- sdxl |
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- anime |
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base_model: |
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- Laxhar/noobai-XL-Vpred-1.0 |
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--- |
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# Hikari Noob v-pred 1.0.1 |
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Civitai model page: https://civitai.com/models/938672 |
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Fine-tuned NoobAI-XL(ν-prediction) and merged SPO LoRA |
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NoobAI-XL(ν-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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- Fixed a problem in which the quality of output was significantly degraded when the number of tokens exceeded 76. |
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- The base style is not strong and can be restyled by prompts or LoRAs. |
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- This model does not include any base model other than NoobAI (v-prediction), so it has the equivalent knowledge. |
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You can generate characters that have appeared by August 2024. |
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- 安定性と品質を改善 |
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- 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。 |
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- 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。 |
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- このモデルはNoobAI(v-prediction版)以外のベースモデルを一切含まず、それと同等の知識があります。2024年8月までに登場したキャラクターを生成できます。 |
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## About 1.0.1 |
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- Better stability? |
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## Requirements / 動作要件 |
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- AUTOMATIC1111 WebUI on `dev` branch / devブランチ上のAUTOMATIC1111 WebUI |
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- **Latest version** of ComfyUI / **最新版**のComfyUI |
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- **Latest version** of Forge or reForge / **最新版**のForgeまたはreForge |
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### Instruction for AUTOMATIC1111 / AUTOMATIC1111の導入手順 |
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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) |
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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(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) |
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2. 通常通りモデルを使用します。 |
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## Prompt Guidelines / プロンプト記法 |
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Almost same as the base model/ベースモデルとおおむね同じ |
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To improve the quality of background, add `simple background, transparent background` to Negative Prompt. |
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## Recommended Prompt / 推奨プロンプト |
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Positive: None/無し(Works good without `masterpiece, best quality` / `masterpiece, best quality`無しでおｋ) |
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Negative: `worst quality, low quality, bad quality, lowres, photoshop \(medium\), abstract` or empty |
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## Recommended Settings / 推奨設定 |
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Steps: 12-24 |
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Scheduler: Simple or SGM Uniform |
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Guidance Scale: 2-5(best value is 4) |
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### Recommended Samplers |
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- DPM++ 2M |
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- DPM++ 3M SDE |
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- Euler/Euler a |
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other samplers will not work properly. |
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### Hires.fix |
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Hires upscaler: 4x-UltraSharp or Latent(nearest-exact) |
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Denoising strength: 0.4-0.5(0.65-0.7 for latent) |
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## Merge recipe(Weighted sum) |
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- Stage 1: Finetune Noob v-pred 1.0 and merge(see below) |
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*A-K: noobai(v-pred)-based custom checkpoint |
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- A * 0.6 + B * 0.4 = tmp1 |
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- tmp1 * 0.6 + C * 0.4 = tmp2 |
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- tmp2 * 0.7 + F * 0.3 = tmp3 |
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- tmp3 * 0.7 + E * 0.3 = tmp4 |
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- tmp4 * 0.6 + D * 0.4 = tmp5 |
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- tmp5 * 0.7 + G * 0.3 = tmp6 |
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- Make H,I,J,K from tmp6 |
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- tmp6 * 0.75 + H * 0.25 = tmp7 |
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- tmp7 * 0.7 + I * 0.3 = tmp8 |
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- tmp8 * 0.7 + J * 0.3 = tmp9 |
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- tmp9 * 0.9 + K * 0.1 = tmp10 |
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- tmp10 + SPO LoRA * 1 + sdxl-flat * -0.25 + sdxl-boldline * -1 = tmp11 |
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- Adjust tmp11(0.2,0.2,0.2,0.05,0,0,0,0) = Result |
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## Training scripts: |
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[sd-scripts](https://github.com/kohya-ss/sd-scripts) |
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## Notice |
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This model is licensed under [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/) |
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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. |
