Triangular
A model that mixes and adjusts three models with different properties
性質の違う3つのモデルを混ぜて調整したモデル
About
This model is a illustration merge model.
このモデルはイラスト系のマージモデルです。
This model is a combination of a flexible model, a photo model, and a model with your favorite painting style.
柔軟性のあるモデルにフォト系モデルを混ぜ、好みの画風のモデルを混ぜたモデルです。
Attention!
This model includes Animagine XL V3 or later.The license is special, so please be careful when merging.Please check the model information to see if you are using Animagine XL V3 or later.
Click here for information on Animagine XL
このモデルにはAnimagine XL V3以降が含まれています。ライセンスが特殊ですのでマージする場合は注意してください。Animagine XL V3以降を使用しているかはモデル情報を見て確認してください。
License: Fair AI Public License 1.0-SD
Infomation
Since it is a SDXL base model, you cannot use LoRA and others from SD1.x or SD2.x.
SDXLベースモデルなので、SD1.xやSD2.xのLoRAなどは使用できません。
The recommended resolution for the generated images is 896x896or higher.
生成画像の解像度は896x896以上がおすすめです。
The quality will be poor at 512x512.
512x512では画質が悪くなります。
Description
1st release.
The models used are:
SeventhMoon v0.1 is Animagine XL V3 Used model.
License: Fair AI Public License 1.0-SD inherited from Animagine XL V3
recipe
Blue Pencil XL v4.0.1 + (CherryPickerXL based photograph model - sd_xl_base_1.0) x alpha (0.0,1.0,0.995722430686905,0.982962913144534,0.961939766255643,0.933012701892219,0.896676670145617,0.853553390593274,0.80438071450436,0.75,0.5,0.434736903889974,0.37059047744874,0.308658283817455,0.25,0.195619285495639,0.146446609406726,0.103323329854382,0.0669872981077805,0.0380602337443566,0)_trainDifference
SeventhMoon v0.1 + ([1.] - sd_xl_base_1.0) x alpha (0.0,1.0,0.995722430686905,0.982962913144534,0.961939766255643,0.933012701892219,0.896676670145617,0.853553390593274,0.80438071450436,0.75,0.5,0.434736903889974,0.37059047744874,0.308658283817455,0.25,0.195619285495639,0.146446609406726,0.103323329854382,0.0669872981077805,0.0380602337443566,0)_trainDifference
SeventhMoon v0.1 + ([1.] - sd_xl_base_1.0) x alpha (0.0,1.0,0.800968123070988,0.674238040123457,0.575358072916667,0.501543209876543,0.450008439429012,0.41796875,0.402639130015432,0.401234567901235,0.479166666666667,0.50561222029321,0.529272762345679,0.54736328125,0.557098765432099,0.555694203317901,0.540364583333333,0.508324893904322,0.456790123456789,0.382975260416667,0)_trainDifference
[2.] x (1-alpha) + [3.] x alpha (0.0,1.0,0.842423804012346,0.71508487654321,0.615234375,0.540123456790123,0.487003279320988,0.453125,0.435739776234568,0.432098765432099,0.5,0.523847415123457,0.544945987654321,0.560546875,0.567901234567901,0.564260223765432,0.546875,0.512996720679013,0.459876543209876,0.384765625,0)_cosineA
[4.] = Triangular v0.1