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image/jpeg Hikari Noob v-pred 0.6.5
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.
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.
This model does not include any base model other than NoobAI (v-prediction 0.6), so it has the equivalent knowledge.
You can generate characters that have appeared by August 2024.
安定性と品質を改善
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。
このモデルはNoobAI(v-prediction 0.6)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。
About v0.6.5
Enabled Zero Terminal SNR
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ComfyUILatest version of Forge or reForge / 最新版 のForgeまたはreForge
Instruction for AUTOMATIC1111 / AUTOMATIC1111の導入手順
Switch branch to dev (Run this command in the root directory of the webui: git checkout -b dev origin/dev or use Github Desktop)
Use the model as usual!
(日本語)
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)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, Leaving negative empty will break the output! Use _ instead.
Recommended Settings / 推奨設定
Steps: 12-24
Scheduler: Simple
Guidance Scale: 2-7
Compatible Samplers
Euler (fast, stable)Euler a(fast)
DPM++ 2M(high quality, fast, unstable)
DPM++ SDE(high quality, slow)
DPM++ 2s a(high quality, slow)
DPM adaptive(extremely slow)
other samplers will not work properly.
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 Noob v-pred 0.6 and merge(see below)
*A-I: noobai(v-pred)-based custom checkpoint
A * 0.6 + B * 0.4 = tmp1
tmp1 * 0.6 + C * 0.4 = tmp2
tmp2 * 0.7 + F * 0.3 = tmp3
tmp3 * 0.7 + E * 0.3 = tmp4
tmp4 * 0.5 + D * 0.5 = tmp5
tmp5 * 0.65 + G * 0.35 = tmp6
Make H,I from tmp6
tmp6 * 0.75 + H * 0.25 = tmp7
tmp7 * 0.75 + I * 0.25 = tmp8
tmp8 + SPO LoRA * 1 + sdxl-flat * -0.25 + sdxl-boldline * -1 = tmp9
Adjust tmp9(0.2,0.2,0.2,0.1,0,0,0,0) = Result
Training 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.
Do not reupload this model.
