---
license: other
license_name: faipl-1.0-sd
license_link: https://freedevproject.org/faipl-1.0-sd/
base_model:
- RedRayz/illumina-noob-vpd
tags:
- stable-diffusion
- sdxl
---

# Abydos-NoobVpd-0.5

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/630e2d981ef92d4e37a1694e/lpbUsigZf0IvpIoDKryHb.jpeg)

Civitai Model Page: https://civitai.com/models/923120

Finetuned NoobAI-XL(v-prediction) + SPO with Blue Archive style


日本語での導入手順はページ下部にあります。

## 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
- ReForge on `dev_upstream_experimental` branch / `dev_upstream_experimental`ブランチ上のreForge

### Instruction for AUTOMATIC1111
1. Download the model
2. Switch branch to `dev`
3. Copy `configs/sd_xl_v.yaml` to `models/Stable-Diffusion/`
4. Rename it to the same as the model name

### Instruction for ReForge
1. Download the model
2. Switch branch to `dev_upstream_experimental`
3. Find “Advanced Model Sampling for Forge” at the bottom of the page
4. Enable “Enable Advanced Model Sampling”
5. Select `v_prediction` in Discrete Sampling Type

### Example Workflow for ComfyUI / ComfyUIサンプルワークフロー
Download it from [here](https://files.catbox.moe/yab2rw.json)

## 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.

背景の品質を向上させるには、`simple background, transparent background`をNegative Promptに追加します.

## 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, oldest, old, photoshop \(medium\), abstract`

## Recommended Settings / 推奨設定
Steps: 14-28

Sampler: DPM++ 2M(dpmpp_2m)

Scheduler: Simple

Guidance Scale: 4-9

### Hires.fix

Hires upscaler: 4x-UltraSharp or Latent(nearest-exact)

Denoising strength: 0.4-0.5(0.6 for latent)

## 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.

### AUTOMATIC1111の導入手順
1. 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)。
2. モデルをダウンロードする。
3. `configs/sd_xl_v.yaml`を`models/Stable-Diffusion/`にコピーする
4. コピペしたファイルをモデル名と同名にする

### ReForgeの導入手順
1. `dev_upstream_experimental`ブランチに切り替える
2. モデルをダウンロードする。
3. WebUIのページ下部から“Advanced Model Sampling for Forge”を見つける
4. “Enable Advanced Model Sampling”を有効にする
5. Discrete Sampling Typeを`v_prediction`にする