|
--- |
|
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。 |
|
|
|
## About v0.6 |
|
- Better detail rendering and thinner outline, because v0.5 is too flat! |
|
- Improved the quality of the landscapes just a little bit |
|
- 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。 |
|
- ほんの少しだけ風景画の品質が改善 |
|
|
|
## 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. |
|
|
