abydos-noobvpd-0.5

Abydos-NoobVpd-0.5

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

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

Notice

This model is licensed under Fair AI Public License 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