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[Deprecated]Illumina-NoobVpd

37
242
4
Updated: Dec 14, 2024
base modelanime
Verified:
SafeTensor
Type
Checkpoint Trained
Stats
242
0
Reviews
(37)
Published
Nov 6, 2024
Base Model
SDXL 1.0
Hash
AutoV2
C50E8E153D
Regal Stag
RedRayz's Avatar
RedRayz
License:
CreativeML Open RAIL++-MAddendum

Hugging Face Repo(v0.5test): https://huggingface.co/RedRayz/illumina-noob-vpd

Fine-tuned NoobAI-XL(v-prediction) without merging another base models, and merged SPO(Step-aware Preference Optimization) LoRA

他所のベースモデルを混ぜずに調整し、SPO LoRAをマージしたNoobAI-XL(v-prediction)

NoobAI-XL(v-prediction版)に特定画風を学習させたモデルを複数作成しマージしたものです。

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

日本語の導入手順はHugging Faceのリポジトリをご覧ください。

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

Download it from here

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"をネガティブプロンプトに追加してください。

Positive: None(works good without "masterpiece, best quality")

Negative: "worst quality, low quality, bad quality, lowres, jpeg artifacts, unfinished, oldest, old, photoshop \(medium\), abstract"

Tips: Leaving Negative Prompt empty will increase the diversity of styles(less 'masterpiece').

ヒント: ネガティブプロンプトを空にしておくと画風の多様性が高くなります(マスピ感を軽減)。

Steps: 14-28

Sampler: DPM++ 2M

Scheduler: Simple

Guidance Scale: 4-9

Upscaler: 4x-UltraSharp(or ESRGAN-based model), Latent(nearest-exact)

Denoising strength: 0.4-0.5(0.6 for latent)

Training information

Please visit the Hugging Face repository

Training script

sd-scripts

Notice/おしらせ:

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.

このモデルはFair AI Public License 1.0-SDでライセンスされています。

このモデルを改変する場合、変更点および元のライセンスを明記する必要があります。

モデルのソースコード/ウェイトや使用法などを閲覧できないクローズソースのファインチューン/マージモデルの収益化は禁止されています。