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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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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ base_model:
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+ - RedRayz/illumina-noob-vpd
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+ tags:
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+ - stable-diffusion
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+ - sdxl
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+ ---
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+
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+ # Abydos-NoovVpd-0.5
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+
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+ Constructing...
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+
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+ Fine-tuned NoobAI-XL(v-prediction) and merged SPO
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+
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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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+
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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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+
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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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+ - ReForge on `dev_upstream_experimental` branch / `dev_upstream_experimental`ブランチ上のreForge
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+
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+ ### Instruction for AUTOMATIC1111
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+ 1. Download the model
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+ 2. Switch branch to `dev`
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+ 3. Copy `configs/sd_xl_v.yaml` to `models/Stable-Diffusion/`
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+ 4. Rename it to the same as the model name
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+
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+ ### Instruction for ReForge
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+ 1. Download the model
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+ 2. Switch branch to `dev_upstream_experimental`
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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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+
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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/v0isof.png)
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+
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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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+
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+ To improve the quality of background, add `simple background, transparent background` to Negative Prompt.
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+
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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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+
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+ Negative: `worst quality, low quality, bad quality, lowres, jpeg artifacts, unfinished, oldest, old, photoshop \(medium\), abstract`
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+
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+ ## Recommended Settings / 推奨設定
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+ Steps: 14-28
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+
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+ Sampler: DPM++ 2M(dpmpp_2m)
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+
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+ Scheduler: Simple
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+
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+ Guidance Scale: 4-9
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+
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+ ### Hires.fix
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+
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+ Hires upscaler: 4x-UltraSharp or Latent(nearest-exact)
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+
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+ Denoising strength: 0.4-0.5(0.6 for latent)
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+
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+ ## Training scripts:
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+ [sd-scripts](https://github.com/kohya-ss/sd-scripts)
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+
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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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+
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+ If you make modify this model, you must share both your changes and the original license.
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+
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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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+
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+ ### AUTOMATIC1111の導入手順
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+ 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)。
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+ 2. モデルをダウンロードする。
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+ 3. `configs/sd_xl_v.yaml`を`models/Stable-Diffusion/`にコピーする
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+ 4. コピペしたファイルをモデル名と同名にする
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+
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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